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Introduction courses are more fundamental than Getting Started courses.", + "long_description": "", + "duration": "000:15:00", + "externalid": "E-0WERJX", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11612, + "title": "Contact Center", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11800, + "title": "Project/Program/Delivery Manager", + "assigned": true, + "subtags": [] + }, + { + "tagid": 12023, + "title": "Cloud Operator", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 625441, + "learningobject_type": "Content", + "name": "Generative BI with Amazon Q in QuickSight Getting Started", + "display_name": "Generative BI with Amazon Q in Quicksight - Getting Started", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=rCvongnR65U_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-06-14T11:29:14.883", + "updated_date": "2024-06-14T11:29:52.73", + "short_description": "Amazon Q in QuickSight introduces a new suite of business intelligence (BI) capabilities by using the large language models (LLMs) of Amazon Bedrock and combining them with the capabilities of Amazon QuickSight. 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Intended Audience:: •Business or functional leader •Business analyst •Data analyst Prerequisites: •Basic knowledge of Amazon QuickSight •Completed the [Amazon QuickSight - Getting Started course] (https://explore.skillbuilder.aws/learn/course/external/view/elearning/14908/amazon-quicksight-getting-started) Course outline: •Module 1: Introduction • •Introduction to Amazon Q in QuickSight • •Architecture and Use Cases •Module 2: Using Amazon Q in QuickSight • •How Do I Set Up Amazon Q in QuickSight? • •How Do I Create a Topic Using Amazon Q in QuickSight? • •How Do I Author a QuickSight Dashboard with Amazon Q? • •How Do I Use Amazon Q in QuickSight as a Business User? • •How Do I Create a Data Story with Amazon Q? • •How Do I Unsubscribe from Amazon Q in QuickSight? •Module 3: Resources • •Learn More • •Contact Us Keywords: •Gen AI •Generative AI ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VR6L92", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11614, + "title": "Data Analytics", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11798, + "title": "Data Engineer", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 625440, + "learningobject_type": "Content", + "name": "Amazon Q Developer Getting Started", + "display_name": "Amazon Q Developer Getting Started", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=Fsx+5H6/EX0_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-06-14T11:26:03.263", + "updated_date": "2024-06-14T11:26:33.487", + "short_description": "Amazon Q Developer is a generative artificial intelligence (AI) powered assistant that helps you understand, build, extend, and operate AWS applications throughout the software development lifecycle. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of using Amazon Q Developer. You will review an architecture that uses Amazon Q Developer in interactive and asynchronous environments to chat with applications and customize and transform code. Through a guided tutorial consisting of a narrated video, step-by-step instructions and transcript, you will learn how to setup an interactive development environment (IDE) that uses Amazon Q Developer. You will use that environment to optimize code, transform code written in Java 8 to Java 17, and implement a new feature in a project. •Course level: Fundamental •Duration: 60 minutes Activities This course includes presentations, graphics, and a step-by-step tutorial to follow along. Course objectives In this course, you will do the following: •Understand how Amazon Q Developer works. •Familiarize yourself with basic concepts of Amazon Q Developer •Recognize the benefits of Amazon Q Developer •List typical use cases for Amazon Q Developer •Describe the typical architecture associated with an Amazon Q Developer solution •Understand the cost structure of Amazon Q Developer •Implement a demonstration of Amazon Q Developer using an IDE Prerequisites We recommend that attendees of this course have completed the following training: •AWS Technical Essentials •Experience using an IDE such as Visual Studio Code (VS Code) to develop applications in Python or Java Course outline •Amazon Q Developer basics •Amazon Q Developer use cases •Amazon Q Developer features •Amazon Q Developer cost •Overview of Amazon Q Developer architecture •Build a demonstration to optimize and transform code, and implement a new feature in a project •Learn More about Amazon Q Developer Keywords: •Gen AI •Generative AI ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VNPLM2", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11616, + "title": "Developer Tools", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 625437, + "learningobject_type": "Content", + "name": "IBM zOS Essentials (Technical)", + "display_name": "IBM z/OS Essentials (Technical)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=bqBEvVS6kE4_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-06-14T11:01:09.71", + "updated_date": "2024-06-14T11:01:09.71", + "short_description": "This course provides an overview of IBM mainframes. 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En la parte 1, aprenderá conceptos básicos como los tipos de análisis, las 5 V de los macrodatos y los desafíos asociados con el procesamiento de grandes volúmenes de datos. Este curso también relaciona las 5 V de los macrodatos con los servicios de AWS para el análisis y explica cómo AWS proporciona los servicios más completos del mercado. Tras completar este curso, se recomienda a los alumnos continuar su recorrido con Aspectos básicos del análisis en AWS: parte 2. •Nivel del curso: básico. •Duración: 2 horas. Nota: Este curso tiene transcripciones o subtítulos localizados. La narración está en inglés. Para mostrar los subtítulos, haga clic en el botón CC en la esquina inferior derecha del reproductor. Actividades : Este curso incluye: lecciones, videos, situaciones y preguntas de evaluación de conocimientos. Objetivos del curso : En este curso, aprenderá a hacer lo siguiente: •Explicar el análisis de datos, la analítica de datos, los tipos de análisis, las técnicas y los desafíos del análisis. •Definir el machine learning (ML), el ML en AWS y los diferentes niveles de AWS para los servicios de ML. •Definir las 5 V de los macrodatos. •Explicar las formas comunes de almacenar datos, los desafíos, las características de los sistemas de almacenamiento de datos fuente y las soluciones de AWS disponibles. •Explicar el transporte de datos, las opciones para diferentes entornos y las soluciones de AWS disponibles. •Definir el procesamiento de datos, las opciones para cada tipo de procesamiento y las soluciones de AWS disponibles. •Identificar diferentes tipos de estructuras de datos, tipos de almacenamiento de datos y soluciones de AWS disponibles. •Explicar dónde encajan la ETL y ELT en varios lugares de la canalización de análisis, los elementos de un proceso de ETL y ELT y las soluciones de AWS disponibles. •Explicar el uso de las herramientas de inteligencia empresarial para obtener valor del análisis y las soluciones de AWS disponibles. A quién se dirige : Este curso está dirigido a los siguientes destinatarios: •Arquitectos de la nube. •Ingenieros de datos. •Analistas de datos. •Científicos de datos. •Desarrolladores. Requisitos previos : Recomendamos que los asistentes a este curso cumplan con los siguientes requisitos: •Repaso de Fundamentos de la nube de AWS para profesionales o equivalente. Esquema del curso : Sección 1: introducción •Lección 1: cómo utilizar este curso •Lección 2: información general del curso Sección 2: conceptos del análisis •Lección 3: análisis •Lección 4: machine learning •Lección 5: las 5 V de los macrodatos •Lección 6: volumen •Lección 7: variedad •Lección 8: velocidad •Lección 9: veracidad •Lección 10: valor Sección 3: servicios de AWS para el análisis •Lección 11: servicios de AWS para el volumen •Lección 12: servicios de AWS para la variedad •Lección 13: servicios de AWS para la velocidad •Lección 14: servicios de AWS para la veracidad •Lección 15: servicios de AWS para el valor Sección 4: conclusión •Lección 16: cuestionario •Lección 17: resumen del curso •Lección 18: apéndice de recursos •Lección 19: comentarios ", + "long_description": "", + "duration": "002:00:00", + "externalid": "E-06KRMP", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11587, + "title": "Spanish", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11614, + "title": "Data Analytics", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11798, + "title": "Data Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11799, + "title": "Data Scientist", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11822, + "title": "01.01.01", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 621265, + "learningobject_type": "Content", + "name": "Fundamentals of Analytics on AWS – Part 2 (LATAM Spanish)", + "display_name": "Aspectos básicos del análisis en AWS: parte 2 (Español LATAM) | Fundamentals of Analytics on AWS – Part 2 (LATAM Spanish)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=vQJK6/rL/bs_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-05-17T13:30:10.493", + "updated_date": "2024-11-04T12:03:26.3", + "short_description": "Este curso es la segunda de las dos ofertas diseñadas para presentar a los alumnos las tendencias actuales del mercado en materia de análisis. En función de los conceptos presentados en la parte 1, este curso presenta a los alumnos información general de los lagos de datos, los almacenamientos de datos y las arquitecturas de datos modernas en AWS. Aprenderá qué servicios de AWS se pueden usar para crear un almacenamiento de datos, lagos de datos y arquitecturas de datos modernas en AWS. También verá casos prácticos comunes de arquitectura de datos moderna y una arquitectura de referencia. •Nivel del curso: básico. •Duración: 1 hora 30 minutos. Nota: Este curso tiene transcripciones o subtítulos localizados. La narración está en inglés. Para mostrar los subtítulos, haga clic en el botón CC en la esquina inferior derecha del reproductor. Actividades : Este curso incluye: lecciones, vídeos, situaciones y preguntas de evaluación de conocimientos. Objetivos del curso : En este curso, aprenderá a hacer lo siguiente: •Explicar los lagos de datos, los beneficios y las funciones. •Describir la arquitectura de lago de datos básica, los servicios de AWS que se usan para crear un lago de datos y los desafíos relacionados con la creación de un lago de datos. •Explicar la arquitectura, las características y los beneficios de AWS Lake Formation. •Explicar el almacenamiento de datos, los desafíos de un almacenamiento de datos en las instalaciones y las soluciones de AWS disponibles. •Explicar los pilares de la arquitectura de datos moderna y los conceptos de la arquitectura de datos moderna. •Explicar las situaciones de migración de datos. •Describir el patrón de arquitectura de malla de datos, los beneficios y las soluciones de AWS disponibles. •Identificar los servicios de AWS disponibles para crear arquitecturas de datos modernas. •Identificar los componentes de la arquitectura de datos moderna. •Describir los casos prácticos comunes de la arquitectura de datos moderna. A quién se dirige : Este curso está dirigido a los siguientes destinatarios: •Arquitectos de nube. •Ingenieros de datos. •Analistas de datos. •Científicos de datos. •Desarrolladores. Requisitos previos : Recomendamos que los asistentes a este curso cumplan con los siguientes requisitos: •Repaso de Fundamentos de la nube de AWS para profesionales o equivalente. •Curso completo de Aspectos básicos del análisis en AWS: parte 1. Esquema del curso : Sección 1: introducción •Lección 1: cómo utilizar este curso •Lección 2: información general del curso Sección 2: arquitecturas •Lección 3: introducción a los lagos de datos •Lección 4: introducción al almacenamiento de datos •Lección 5: introducción a la arquitectura de datos moderna •Lección 6: servicios de AWS para la arquitectura de datos moderna Sección 3: casos prácticos comunes y arquitecturas de referencia •Lección 7: casos prácticos comunes •Lección 8: arquitecturas de referencia Sección 4: conclusión •Lección 9: cuestionario •Lección 10: resumen del curso •Lección 11: apéndice de recursos •Lección 12: comentarios ", + "long_description": "", + "duration": "001:30:00", + "externalid": "E-VX2RE7", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11587, + "title": "Spanish", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11614, + "title": "Data Analytics", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11798, + "title": "Data Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11799, + "title": "Data Scientist", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11821, + "title": "01.01.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 621264, + "learningobject_type": "Content", + "name": "AWS Organizations Getting Started (Portuguese)", + "display_name": "Introdução ao AWS Organizations (Português) | AWS Organizations Getting Started (Portuguese)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=iHnMDkFjJBc_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-05-17T13:26:55.36", + "updated_date": "2024-11-04T11:55:09.69", + "short_description": "Neste curso, você aprenderá os benefícios e os conceitos técnicos do AWS Organizations. Com o Organizations, você pode gerenciar contas e consolidar os recursos de cobrança para melhor atender às necessidades orçamentárias, de segurança e de conformidade da sua organização. Como administrador de uma organização, você pode consolidar várias contas da Amazon Web Services (AWS) e gerenciá-las de forma centralizada. Neste curso, você também revisará os conceitos básicos do Organizations e os desafios técnicos e de negócio que ele pode resolver. •Nível do curso: básico •Duração: 1 hora Observação: Este curso tem transcrições/legendas traduzidas. A narração está em inglês. Para exibir as legendas, clique no botão CC no canto inferior direito do player. Atividades : Este curso inclui apresentações, demonstrações e testes de conhecimento. Objetivos do curso : Neste curso, você vai: •Entender os conceitos técnicos básicos do Organizations. •Entender os desafios técnicos e de negócio das organizações. •Configurar uma organização. •Gerenciar convites, serviços e políticas. •Visualizar a cobrança consolidada. Público-alvo : Este curso é destinado a: •Clientes, parceiros e recursos internos da AWS que querem entender melhor como o Organizations pode ajudá-los a operar soluções da AWS em grande escala. Pré-requisitos : Recomendamos que os participantes deste curso tenham: •Noções básicas das ofertas da AWS e dos desafios que as organizações enfrentam ao operá-las. Conteúdo do curso : Lição 1: Introdução ao AWS Organizations Lição 2: Arquitetura e casos de uso Lição 3: Como configurar o Organizations no Console de Gerenciamento da AWS? Lição 4: Como gerenciar uma organização? Lição 5: Como visualizar a cobrança consolidada com uma organização? Lição 6: Como excluir uma organização da AWS? Lição 7: Como usar a AWS CLI com o Organizations? Lição 8: Como usar o CloudFormation com o Organizations? 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Na Parte 1, você aprenderá conceitos básicos, como tipos de analytics, os 5 Vs do big data e os desafios associados ao processamento de grandes volumes de dados. Este curso também mapeia os 5 Vs do big data para os serviços de analytics da AWS e discute como a AWS fornece os serviços mais abrangentes do mercado. Após a conclusão deste curso, os alunos são incentivados a continuar sua jornada com Noções básicas de analytics na AWS – Parte 2. •Nível do curso: básico •Duração: 2 horas Observação: Este curso tem transcrições/legendas traduzidas. A narração está em inglês. Para exibir as legendas, clique no botão CC no canto inferior direito do player. Atividades : Este curso inclui: aulas, vídeos, cenários e perguntas de teste de conhecimento. Objetivos do curso : Neste curso, você aprenderá a: •Explicar data analytics, análise de dados, tipos e técnicas de análise e os desafios da analytics. •Definir machine learning (ML), ML na AWS e diferentes níveis da AWS para serviços de ML. •Definir os 5 Vs do big data. •Explicar as formas comuns de armazenar dados, os desafios, as características dos sistemas de armazenamento de dados de origem e as soluções da AWS disponíveis. •Explicar o transporte de dados, as opções para diferentes ambientes e as soluções da AWS disponíveis. •Definir processamento de dados, as opções para cada tipo de processamento e as soluções da AWS disponíveis. •Identificar diferentes tipos de estruturas de dados, tipos de armazenamento de dados e soluções da AWS disponíveis. •Explicar onde ETL e ELT se encaixam em vários pontos do pipeline de analytics, os elementos de um processo de ETL e ELT e as soluções da AWS disponíveis. •Explicar o uso de ferramentas de business intelligence para obter valor de analytics e das soluções da AWS disponíveis. Público-alvo : Este curso é destinado a: •Arquitetos de nuvem •Engenheiros de dados •Analistas de dados •Data scientists •Desenvolvedores Pré-requisitos : Recomendamos que os participantes deste curso tenham: •Feito o Elementos essenciais do AWS Cloud Practitioner ou equivalente Conteúdo do curso : Seção 1: Introdução •Lição 1: Como usar este curso •Lição 2: Visão geral do curso Seção 2: Conceitos de analytics •Lição 3: Analytics •Lição 4: Machine Learning •Lição 5: Os 5Vs do big data •Lição 6: Volume •Lição 7: Variedade •Lição 8: Velocidade •Lição 9: Veracidade •Lição 10: Valor Seção 3: Serviços da AWS para analytics •Lição 11: Serviços da AWS para volume •Lição 12: Serviços da AWS para variedade •Lição 13: Serviços da AWS para velocidade •Lição 14: Serviços da AWS para veracidade •Lição 15: Serviços da AWS para valor Seção 4: Conclusão •Lição 16: Teste •Lição 17: Resumo do curso •Lição 18: Apêndice de recursos •Lição 19: Comentários ", + "long_description": "", + "duration": "002:00:00", + "externalid": "E-033RX3", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11601, + "title": "Portuguese", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11614, + "title": "Data Analytics", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11798, + "title": "Data Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11799, + "title": "Data Scientist", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11822, + "title": "01.01.01", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 621262, + "learningobject_type": "Content", + "name": "Fundamentals of Analytics on AWS – Part 2 (Portuguese)", + "display_name": "Fundamentos de analytics na AWS – Parte 2 (Português) | Fundamentals of Analytics on AWS – Part 2 (Portuguese)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=TKH/ojfTFIw_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-05-17T13:16:44.31", + "updated_date": "2024-11-04T11:58:25.943", + "short_description": "Este curso é a segunda de duas ofertas criadas para apresentar aos alunos as tendências atuais do mercado em analytics. Com base nos conceitos apresentados na Parte 1, este curso apresenta aos alunos uma visão geral dos data lakes, data warehouses e das arquiteturas de dados modernas na AWS. Você aprenderá quais serviços da AWS podem ser usados para criar um data warehouse, data lakes e arquiteturas de dados modernas na AWS. Você também verá casos de uso comuns da arquitetura de dados moderna e uma arquitetura de referência. •Nível do curso: básico •Duração: 1 hora e 30 minutos Observação: Este curso tem transcrições/legendas traduzidas. A narração está em inglês. Para exibir as legendas, clique no botão CC no canto inferior direito do player. Atividades : Este curso inclui: aulas, vídeos, cenários e testes de conhecimento. Objetivos do curso : Neste curso, você aprenderá a: •Explicar os data lakes, seus benefícios e funções. •Descrever a arquitetura básica de data lake, os serviços da AWS usados para criar um data lake e os desafios da criação de um data lake. •Explicar a arquitetura, os recursos e os benefícios do AWS Lake Formation. •Explicar o armazenamento de dados, os desafios de um data warehouse on-premises e as soluções disponíveis da AWS. •Explicar os pilares da arquitetura de dados moderna e seus conceitos. •Explicar os cenários de movimentação de dados. •Descrever o padrão da arquitetura da malha de dados, os benefícios e as soluções disponíveis da AWS. •Identificar os serviços da AWS disponíveis para criar arquiteturas de dados modernas. •Identificar os componentes da arquitetura de dados moderna. •Descrever os casos de uso comuns da arquitetura de dados moderna. 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In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of using Amazon Q Business. You will also review an architecture that depicts how Amazon Q Business works. Through a guided tutorial consisting of a narrated video, step-by-step instructions, and transcript, you will learn how to create an Amazon Q web experience that uses a sample set of documents. •Course level: Fundamental •Duration: 40 minutes Activities: This course includes presentations, graphics, and a step-by-step tutorial. Course objectives: In this course, you will learn to: •Describe how Amazon Q Business works. •Familiarize yourself with the features and capabilities of Amazon Q Business. •List typical use cases for Amazon Q Business. •Recognize the benefits of Amazon Q Business. •Explain the cost structure of Amazon Q Business. •Explore how to use Amazon Q Business in AWS Management Console. Prerequisites: We recommend that attendees of this course have completed the following training: •AWS Technical Essentials Course outline: Section 1: Introduction •Introduction to Amazon Q Business. •Architecture and Use Cases. Section 2: Using Amazon Q Business •How Do I Set Up an Amazon Q Business Application? •How Do I Chat with My Amazon Q Business Application? 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These sources include Amazon Web Services (AWS) and software as a service (SaaS) providers, on premises, and cloud sources. In this course, you will learn the benefits and technical concepts of Amazon Security Lake. If you are new to the service, you will learn how to start with Security Lake through a demonstration using the AWS Management Console. You will learn about the standard architecture and how the built-in features can help you streamline Security Lake. •Course level: Fundamental •Duration: 60 minutes Activities: This course includes presentations, demonstrations, videos, and assessments. Course objectives: In this course, you will learn to do the following: •Identify the purpose of Amazon Security Lake. •Recognize the problems Security Lake can solve. •Understand the architecture and pricing philosophy. Intended Audience: This course is intended for the following job roles: •Security engineers •Security operations •Solution architects •IT managers •IT administrators Prerequisites: We recommend that attendees of this course have the following prerequisites: •Understanding of fundamental AWS Security and software services. •Recommending learners take the AWS Security Fundamentals Second Edition digital course. Course outline: •Module 1: Introduction • •Introduction to Amazon Security Lake • •Architecture and Use Cases •Module 2: Using Amazon Security Lake • •How Do I Configure Amazon Security Lake? • •How Do I Query Data in Amazon Security Lake using Amazon Athena? • •How Do I Disable Amazon Security Lake? •Module 3: Resources • •Learn More • •Contact Us ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-1QW36R", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11630, + "title": "Security, Identity & Compliance", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11789, + "title": "Account/Sales Manager", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11792, + "title": "DevOps Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11795, + "title": "Security Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11796, + "title": "Alliance Lead", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11798, + "title": "Data Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11800, + "title": "Project/Program/Delivery Manager", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11801, + "title": "Pre-Sales Consultant", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 621255, + "learningobject_type": "Content", + "name": "Amazon Connect Agent Applications Fundamentals", + "display_name": "Amazon Connect Agent Applications Fundamentals", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=QRAns6HC+oA_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-05-17T12:54:24.753", + "updated_date": "2024-05-17T12:54:40.407", + "short_description": "Amazon Connect offers built-in agent applications that improve agent productivity and experience. These browser-based applications give contact centers quick access to easy to use pre-built interfaces. Depending on their specific business needs, organizations can extend the out-of-the-box functionality with flexible integration options. In this course, you will learn about the benefits, common uses, and key concepts and functionality of the Amazon Connect agent applications. You will explore real-world examples and identify important factors for planning safe, cost-effective use of these applications. •Course level: Fundamental •Duration: 73 minutes Activities This course includes interactions, video demonstrations, and assessments. Course objectives In this course, you will learn to: •Identify Amazon Connect agent applications and their benefits. •Explore the agent experience with the Amazon Connect Contact Control Panel (CCP) and the Amazon Connect agent workspace. •Examine the value of the built-in and customizable features of the CCP and the agent workspace. •Recognize security considerations for agent applications. •Recognize service quota considerations for agent applications. Intended audience This course is intended for contact center professionals, including those in roles such as: contact center engineer, technologist, implementation consultant, and IVR designer. Prerequisites No prerequisites needed. Course outline Section 1: Amazon Connect Agent Applications •Introduction to Amazon Connect Agent Applications •Using the Contact Control Panel •Using the Agent Workspace •Considerations Section 2: Conclusion •Summary Section 3: Knowledge Check Questions •Knowledge Check Section 4: Getting Help •Learn More ", + "long_description": "", + "duration": "001:13:00", + "externalid": "E-1LNK2L", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11612, + "title": "Contact Center", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11800, + "title": "Project/Program/Delivery Manager", + "assigned": true, + "subtags": [] + }, + { + "tagid": 12023, + "title": "Cloud Operator", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 618000, + "learningobject_type": "Content", + "name": "Getting Started with AWS for Games – Part I (Vietnamese)", + "display_name": "Getting Started with AWS for Games – Part I (Vietnamese)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=qqVfMHy9qSs_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-04-19T14:21:39.343", + "updated_date": "2024-04-19T14:21:39.343", + "short_description": "Khóa học bắt đầu này được thiết kế để giới thiệu cho nhà phát triển game các nguyên tắc và phương pháp thực hành tốt nhất để lưu trữ game trên AWS Cloud. Trong Khóa học Phần I này, chúng ta sẽ khám phá sự xuất hiện của chơi game trực tuyến và lưu trữ đám mây. Khóa học cũng sẽ nghiên cứu các mẫu thiết kế giải pháp cho các chức năng chính của game, bao gồm cả lưu trữ máy chủ game. Chúng tôi cũng sẽ giới thiệu cho bạn một số tùy chọn có sẵn trong danh mục dịch vụ game Amazon Web Services (AWS). Bạn sẽ tìm hiểu về các phương án thiết kế để quyết định tùy chọn nào đáp ứng tốt nhất nhu cầu game của bạn. •Cấp độ khóa học: Nền tảng •Thời gian: 55 phút Lưu ý: Khóa học này có bản chuyển lời thoại/phụ đề đã được bản địa hóa. Nội dung tường thuật bằng tiếng Anh. Để hiển thị phụ đề, hãy nhấp vào nút CC ở góc dưới cùng bên phải của trình phát. Hoạt động: Khóa học này bao gồm video, bài tập thực hành, kiểm tra kiến thức và đánh giá cuối cùng. Mục tiêu khóa học: Trong khóa học này, bạn sẽ tìm hiểu cách: •Mô tả sự phát triển của Công nghệ game và các trình điều khiển di chuyển game vào đám mây. •Nhận biết các mẫu giải pháp cấu trúc đám mây cho các chức năng chính của game. •Phân biệt các dịch vụ được quản lý và không được quản lý trong danh mục dịch vụ AWS. •Xác định các phương án thiết kế cho cấu trúc game trên đám mây và xác định dịch vụ AWS nào phù hợp nhất với một trường hợp sử dụng được đưa ra. •Xác định vị trí thông tin, công cụ và tài nguyên bổ sung. Khóa học này dành cho các Nhà làm game bao gồm: •Nhà thiết kế game •Nhà phát triển game •Nhà sản xuất game •Họa sĩ game •Quản trị viên game Điều kiện tiên quyết: Những người tham dự khóa học này nên: •Có hiểu biết nền tảng về điện toán đám mây và Amazon Web Services (AWS) tương đương với Cloud Practitioner Essentials hoặc Technical Essentials. •Nắm được các nguyên tắc phát triển và hoạt động của game. Đề cương khóa học : Bài 1: Tổng quan về khóa học •Giới thiệu Bài 2-3: Sự phát triển của công nghệ game •Trải nghiệm của người chơi •Mô hình lưu trữ game Bài 4-6: Các chức năng chính của game •Sức mạnh của trí tưởng tượng •Các chức năng chính của game •Tùy chọn cấp dịch vụ Bài 7-10: Máy chủ game •Máy chủ game trong đám mây •Máy chủ ảo •Giải pháp bộ chứa •Máy chủ được quản lý hoàn toàn Bài 11: Cách ra quyết định •Cây quyết định, hỗ trợ tác vụ, câu hỏi cần đặt ra Bài 12: Các tình huống thực hành •Ba tình huống thực hành Bài 13: Tóm tắt •Xem lại nội dung khóa học Bài 14: Các bước tiếp theo •Tìm hiểu thêm •Tài nguyên bổ sung Đánh giá khóa học •Đánh giá cuối khóa học ", + "long_description": "", + "duration": "000:55:00", + "externalid": "E-04DNP6", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 12439, + "title": "Vietnamese", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11636, + "title": "AWS for Games", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 12023, + "title": "Cloud Operator", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 617999, + "learningobject_type": "Content", + "name": "Amazon Lex Getting Started (Vietnamese)", + "display_name": "Amazon Lex Getting Started (Vietnamese)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=gxFL2zClcl0_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-04-19T14:17:56.96", + "updated_date": "2024-04-19T14:17:56.96", + "short_description": "Amazon Lex là một dịch vụ trí tuệ nhân tạo (AI) được quản lý hoàn toàn, có các mô hình ngôn ngữ tự nhiên tiên tiến để thiết kế, tạo, kiểm thử và triển khai giao diện giao tiếp bằng giọng nói và văn bản. Trong khóa học Getting Started này, bạn sẽ tìm hiểu về các lợi ích, tính năng, trường hợp sử dụng điển hình, khái niệm kỹ thuật và chi phí của Amazon Lex. Bạn sẽ xem xét một kiến trúc sử dụng Amazon Lex, cùng với các sản phẩm và dịch vụ Amazon Web Services (AWS) khác, để tạo giải pháp chatbot. Cuối cùng, thông qua hướng dẫn bao gồm video có thuyết minh, hướng dẫn từng bước và bản ghi lời thoại, bạn sẽ tìm hiểu cách tạo bot Amazon Lex bằng trình tạo trực quan trong tài khoản AWS của mình. •Trình độ khóa học: Cơ bản •Thời lượng: 1 giờ Lưu ý: Khóa học này có bản chuyển lời thoại/phụ đề đã được bản địa hóa. Nội dung tường thuật bằng tiếng Anh. Để hiển thị phụ đề, hãy nhấp vào nút CC ở góc dưới cùng bên phải của trình phát. Hoạt động: Khóa học này bao gồm các bài thuyết trình, đồ họa và hướng dẫn từng bước để bạn làm theo. Mục tiêu của khóa học: Trong khóa học này, bạn sẽ: •Tìm hiểu cách Amazon Lex hoạt động. •Làm quen với các khái niệm cơ bản về Amazon Lex. •Tìm hiểu các lợi ích của Amazon Lex. •Liệt kê các trường hợp sử dụng điển hình của Amazon Lex. •Mô tả kiến trúc điển hình liên quan đến giải pháp Amazon Lex. •Tìm hiểu cấu trúc chi phí của Amazon Lex. •Triển khai phần minh họa về Amazon Lex trong Bảng điều khiển quản lý AWS. Điều kiện tiên quyết: Chúng tôi đề xuất học viên tham gia khóa học này hoàn thành khóa đào tạo sau: •AWS Technical Essentials Đề cương khóa học: •Giới thiệu về Amazon Lex •Kiến trúc và trường hợp sử dụng •Cách tạo bot Amazon Lex •Cách xóa bot Amazon Lex •Tìm hiểu thêm ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-0YXR9Y", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 12439, + "title": "Vietnamese", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 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รวมถึงบริการอื่นๆ ที่ Amazon Web Services (AWS) เสนอ เพื่อสร้างโซลูชัน Chatbot สุดท้าย คุณจะได้เรียนรู้วิธีสร้างบอต Amazon Lex โดยใช้เครื่องมือสร้างที่แสดงผลด้วยภาพในบัญชี AWS ของ คุณผ่านบทช่วยสอนการใช้งานที่ประกอบด้วยวิดีโอบรรยาย คำแนะนำทีละขั้นตอน และบทถอดเสียง •ระดับหลักสูตร: Fundamental •ระยะเวลา: 1 ชั่วโมง หมายเหตุ: หลักสูตรนี้มีการแปลถอดเสียง/คำบรรยาย บทบรรยายเป็นภาษาอังกฤษ หากต้องการแสดงคำบรรยาย ให้คลิกที่ปุ่ม CC ที่มุมล่างขวาของเครื่องเล่น กิจกรรม: หลักสูตรนี้ประกอบด้วยการนำเสนอ กราฟิก และบทช่วยสอนทีละขั้นตอนที่สามารถปฏิบัติตามได้ วัตถุประสงค์ของหลักสูตร: ในหลักสูตรนี้ คุณจะได้เรียนรู้วิธีทำสิ่งต่อไปนี้ •ทำความเข้าใจวิธีการทำงานของ Amazon Lex •ศึกษาแนวคิดพื้นฐานของ Amazon Lex •ตระหนักถึงข้อดีของ Amazon Lex •ระบุกรณีใช้งานทั่วไปของ Amazon Lex •อธิบายสถาปัตยกรรมทั่วไปที่เกี่ยวข้องกับโซลูชัน Amazon Lex •ทำความเข้าใจโครงสร้างค่าใช้จ่ายของ Amazon Lex •นำการสาธิต Amazon Lex ไปปรับใช้ในคอนโซลการจัดการของ AWS ข้อกำหนดเบื้องต้น: เราขอแนะนำให้ผู้เข้าร่วมหลักสูตรนี้ผ่านการฝึกอบรมต่อไปนี้ก่อน •AWS Technical Essentials เนื้อหาหลักสูตร: •ความรู้เบื้องต้นเกี่ยวกับ Amazon Lex •สถาปัตยกรรมและกรณีใช้งาน •คุณจะสร้างบอต Amazon Lex ได้อย่างไร •คุณจะลบบอต Amazon Lex ได้อย่างไร •เรียนรู้เพิ่มเติม ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-07YMKE", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 12438, + "title": "Thai", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11799, + "title": 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Isso ajuda a simplificar o gerenciamento de recursos e aplicativos e reduz o tempo necessário para detectar e resolver problemas operacionais. Este curso de introdução fornece uma visão geral dos principais recursos e funcionalidades do Systems Manager para ajudar você a ter uma compreensão introdutória dos serviços que ele fornece. •Nível do curso: Fundamental •Duração: 60 minutos Observação: Este curso tem transcrições/legendas traduzidas. A narração está em inglês. Para exibir as legendas, clique no botão CC no canto inferior direito do player. Atividades: Este curso inclui apresentação, visão geral da arquitetura e informações sobre preços. 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You learn how businesses use the customer carbon footprint tool and the benefits of the tool for reducing your carbon footprint and achieving decarbonization goals with AWS. You also learn about considerations for using the tool for a variety of optimal usage and cost savings considerations. Introduction courses are more fundamental than Getting Started courses. •Course level: Fundamental •Duration: 15 minutes Activities This course includes a knowledge check, video, case studies, and links to additional resources. Course objectives In this course, you will learn to do the following: •Identify the importance of decarbonization to AWS and our customers. •Identify possible uses for the AWS customer carbon footprint tool and other resources. •Recognize possible benefits and considerations for adopting a Well-Architected Framework approach to decarbonization with AWS. 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The supported Amazon Connect text-based channels are web chat, mobile chat, Short Message Service (SMS), and third-party messaging applications like WhatsApp and Facebook Messenger. In this course, you will learn the benefits, typical use cases, and core concepts of Amazon Connect chat and messaging channels. You will explore the available integration options, and understand how to use these channels in alignment with your organizational needs. - Course level: Fundamental - Duration: 70 minutes Activities This course includes interactions and assessments. Course objectives In this course, you will learn to: •Identify Amazon Connect chat and messaging channels. •Recognize benefits of Amazon Connect chat and messaging channels. •Recognize the built-in features and optional integrations of Amazon Connect chat and messaging channels. •Recall the agent and customer experience using Amazon Connect chat and messaging. •Recognize considerations for Amazon Connect chat and messaging service quotas. •Recognize Amazon Connect chat and messaging security considerations. Intended audience This course is intended for Contact Center professionals, including those in roles such as: contact center engineer. technologist, implementation consultant, and IVR designer. Prerequisites No prerequisites needed. Course outline Section 1: Introduction to Amazon Connect Chat and Messaging · Introduction to Amazon Connect Chat and Messaging Channels · Built-in Chat and Messaging Features · Optional Customization and Integrations · Customer and Agent Experience · Considerations Section 2: Conclusion · Summary Section 3: Knowledge Check Questions · Knowledge Check Section 4: Getting Help · Learn More ", + "long_description": "", + "duration": "001:10:00", + "externalid": "E-05WRKQ", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11612, + "title": "Contact Center", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11800, + "title": "Project/Program/Delivery Manager", + "assigned": true, + "subtags": [] + }, + { + "tagid": 12023, + "title": "Cloud Operator", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11815, + "title": "01.00.01", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 617657, + "learningobject_type": "Content", + "name": "AWS for RISE with SAP Introduction v01.00.00", + "display_name": "AWS for RISE with SAP Introduction", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=e9KolNy3f/w_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-04-17T15:30:49.2", + "updated_date": "2024-04-17T15:31:11.153", + "short_description": "In this overview course, participants learn the value proposition for RISE with SAP on Amazon Web Services (AWS). The course is designed for professionals aiming to elevate their foundational concepts of AWS for RISE with SAP. It provides a high-level overview of various deployment options for SAP S/4HANA on AWS and SAP network connectivity patterns. It also provides a sizing methodology for RISE with SAP deployments on AWS. •Course level: Fundamental • Duration: 15 minutes Activities: This course includes a video and assessments. Course objectives: In this course, you will: •Identify the definition of RISE with SAP •Identify the SAP licensing and deployment models •Recognize the benefits of running RISE with SAP workloads on AWS Intended audience: This course is intended for: •Solutions architects designing SAP applications on AWS •SAP consultants •Amazonians • Partners Prerequisites: We recommend that attendees of this course have: •Basic understanding of SAP enterprise resource planning (ERP) Course outline: •Module 1: AWS for RISE with SAP - Introduction • Course objectives •Case study •Video: AWS for RISE with SAP – Introduction •Knowledge check •Learn more about AWS for RISE with SAP •Contact us ", + "long_description": "", + "duration": "000:15:00", + "externalid": "E-VR6LPM", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 12004, + "title": "SAP on AWS", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11790, + "title": "Decision Maker", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 614903, + "learningobject_type": "Content", + "name": "Amazon Lex Getting Started (LATAM Spanish)", + "display_name": "Introducción a Amazon Lex (Español LATAM) | Amazon Lex Getting Started (LATAM Spanish)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=nqUPQa3tEeI_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-25T14:49:15.7", + "updated_date": "2024-03-25T14:49:15.7", + "short_description": "Amazon Lex es un servicio de inteligencia artificial (IA) completamente administrado con modelos avanzados de lenguaje natural para diseñar, crear, probar e implementar interfaces de conversación con voz y texto. En este curso introductorio, conocerá las ventajas, las funciones, los casos prácticos típicos, los conceptos técnicos y el costo de Amazon Lex. Revisará la arquitectura que utiliza Amazon Lex, junto con otras ofertas de Amazon Web Services (AWS), para crear una solución de chatbot. Por último, mediante un tutorial guiado compuesto por un video narrado, con instrucciones paso a paso y su transcripción, aprenderá a crear un bot de Amazon Lex con el constructor visual de su cuenta de AWS. •Nivel del curso: básico •Duración: 1 hora Nota: Este curso tiene transcripciones o subtítulos localizados. La narración está en inglés. Para mostrar los subtítulos, haga clic en el botón CC en la esquina inferior derecha del reproductor. Actividades: Este curso incluye presentaciones, gráficos y un tutorial paso a paso para seguirlo. Objetivos del curso: En este curso, aprenderá lo siguiente: •Comprender cómo funciona Amazon Lex. •Familiarizarse con los conceptos básicos de Amazon Lex. •Reconocer los beneficios de Amazon Lex. •Enumerar los casos prácticos típicos de Amazon Lex. •Describir la arquitectura típica asociada a una solución de Amazon Lex. •Comprender la estructura de costos de Amazon Lex. •Implementar una demostración de Amazon Lex en la consola de administración de AWS. Requisitos previos: Recomendamos que los asistentes a este curso hayan completado la siguiente formación: •Fundamentos técnicos de AWS Esquema del curso: •Introducción a Amazon Lex •Arquitectura y casos prácticos •¿Cómo se crea un bot de Amazon Lex? •¿Cómo se elimina un bot de Amazon Lex? •Más información ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VX2XP8", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11587, + "title": "Spanish", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11799, + "title": "Data Scientist", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 614902, + "learningobject_type": "Content", + "name": "Conceitos básicos do Amazon Lex (Português)", + "display_name": "Conceitos básicos do Amazon Lex (Português) | Amazon Lex Getting Started (Portuguese)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=sk/gwdxV3hg_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-25T14:45:21.96", + "updated_date": "2024-03-25T14:45:21.96", + "short_description": "O Amazon Lex é um serviço de inteligência artificial (IA) totalmente gerenciado com modelos avançados de linguagem natural para projetar, criar, testar e implantar interfaces de conversação para voz e texto. Neste curso de introdução, você aprenderá sobre os benefícios, os recursos, os casos de uso típicos, os conceitos técnicos e o custo do Amazon Lex. Você analisará uma arquitetura que usa o Amazon Lex, junto com outras ofertas da Amazon Web Services (AWS), para criar uma solução de chatbot. Por fim, por meio de um tutorial guiado que consiste em um vídeo narrado, instruções passo a passo e transcrição, você aprenderá a criar um bot do Amazon Lex usando o Visual Builder em sua conta da AWS. •Nível do curso: básico •Duração: 1 hora Observação: Este curso tem transcrições/legendas traduzidas. A narração está em inglês. Para exibir as legendas, clique no botão CC no canto inferior direito do player. Atividades: Este curso inclui apresentações, gráficos e um tutorial passo a passo para acompanhar. Objetivos do curso: Neste curso, você aprenderá a: •Entender como o Amazon Lex funciona. •Familiarizar-se com os conceitos básicos do Amazon Lex. •Reconhecer os benefícios do Amazon Lex. •Listar casos de uso típicos do Amazon Lex. •Descrever a arquitetura típica associada a uma solução Amazon Lex. •Entender a estrutura de custos do Amazon Lex. •Implementar uma demonstração do Amazon Lex no Console de Gerenciamento da AWS. Pré-requisitos: Recomendamos que os participantes deste curso tenham concluído o seguinte treinamento: •Elementos técnicos essenciais da AWS Conteúdo do curso: •Introdução ao Amazon Lex •Arquitetura e casos de uso •Como você cria um bot do Amazon Lex? •Como você exclui um bot do Amazon Lex? •Saiba mais ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-0JML79", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11601, + "title": "Portuguese", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11799, + "title": "Data Scientist", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 614901, + "learningobject_type": "Content", + "name": "Amazon Lex Getting Started (Korean)", + "display_name": "Amazon Lex Getting Started (Korean)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=QUk8+yxML+8_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-25T14:40:06.673", + "updated_date": "2024-03-25T14:40:06.673", + "short_description": "Amazon Lex는 음성 및 텍스트용 대화형 인터페이스를 설계, 구축, 테스트 및 배포할 수 있는 고급 자연어 모델을 갖춘 완전관리형 인공 지능(AI) 서비스입니다. 이 시작 과정에서는 Amazon Lex의 이점, 기능, 일반적인 사용 사례, 기술적 개념 및 비용에 대해 알아봅니다. Amazon Lex를 다른 Amazon Web Services(AWS) 서비스와 함께 사용하여 챗봇 솔루션을 구축하는 아키텍처를 검토합니다. 마지막으로, 내레이션 동영상, 단계별 지침 및 transcript로 구성된 가이드 자습서를 통해 AWS 계정에서 비주얼 빌더를 사용하여 Amazon Lex 봇을 생성하는 방법을 알아봅니다. •과정 수준: 기초 •소요 시간: 1시간 참고: 이 과정의 동영상에는 한국어 트랜스크립트 또는 자막이 지원되며 음성은 영어로 출력됩니다. 자막을 표시하려면 동영상 화면 우측 하단의 CC 버튼을 클릭하세요. 참고: 이 과정은 Google Chrome(최신 주요 버전 2개), Microsoft Edge(최신 주요 버전 2개), Safari(최신 주요 버전 2개)에 최적화되어 있습니다. 활동: 이 과정에는 프레젠테이션, 그래픽, 따라야 할 단계별 자습서가 포함되어 있습니다. 과정 목표: 이 과정에서 학습할 내용은 다음과 같습니다. •Amazon Lex의 작동 방식을 이해합니다. •Amazon Lex의 기본 개념을 숙지합니다. •Amazon Lex의 이점을 이해합니다. •Amazon Lex의 일반적인 사용 사례를 나열합니다. •Amazon Lex 솔루션과 관련된 일반적인 아키텍처를 설명합니다. •Amazon Lex의 비용 구조를 이해합니다. •AWS Management Console에서 Amazon Lex 데모를 구현합니다. 사전 요구 사항: 이 과정을 수강하기 전에 다음 교육을 미리 이수하시기 바랍니다. •AWS Technical Essentials 과정 개요: •Amazon Lex 소개 •아키텍처 및 사용 사례 •Amazon Lex 봇을 생성하는 방법 •Amazon Lex 봇을 삭제하는 방법 •자세히 알아보기 ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-19WJKO", + "category": [ + { + "categoryid": 11585, + 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55 分 アクティビティ このコースには、ビデオ、練習演習、ナレッジチェック、最終評価が含まれます。 コースの目標 このコースを修了すると、次のことができるようになります。 • ゲームテクノロジーの進化とゲームをクラウドに移行する利点について説明する。 • ゲームのコア機能のクラウドアーキテクチャソリューションのパターンを認識する。 • AWS サービスポートフォリオのマネージドサービスとアンマネージドサービスの違いを理解する。 • クラウドゲームアーキテクチャの設計上の考慮事項を認識し、特定のユースケースに最適な AWS サービスを判断する。 • 追加情報、ツール、リソースを特定する。 受講対象 このコースは次のようなゲーム制作者を対象としています。 • ゲームデザイナー • ゲームデベロッパー • ゲームプロデューサー • ゲームアーティスト • ゲーム管理者 前提条件 このコースを受講するにあたり、次の前提条件を満たしておくことをお勧めします。 • Cloud Practitioner Essentials または Technical Essentials 認定と同等レベルのクラウドコンピューティングおよび Amazon Web Services (AWS) に関する基礎知識がある • ゲームの開発と運用のための原則を熟知している   コースの概要 レッスン 1: コースの概要 • はじめに レッスン 2~3: ゲームテクノロジーの進化 • プレイヤーエクスペリエンス • ゲームホスティングモデル レッスン 4~6: ゲームのコア機能 • 可能なことを実行する技術 • ゲームのコア機能 • サービスレベルオプション レッスン 7~10: ゲームサーバー • クラウド上のゲームサーバー • 仮想サーバー • コンテナソリューション • フルマネージドサーバー レッスン 11: 決定方法 • 決定木、ジョブエイド、質問事項 レッスン 12: 演習シナリオ • 3 つの演習シナリオ レッスン 13: まとめ • コース内容の復習 レッスン 14: 次のステップ • 追加情報 • その他のリソース コースの認定テスト • コース修了の認定テスト ", + "long_description": "", + "duration": "000:55:00", + 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If you are enrolled in the course and have not completed it, your progress may be impacted. We apologize for any inconvenience this may cause. Using Amazon CloudWatch, you can monitor, store, and access your log files from Amazon Elastic Compute Cloud (Amazon EC2) instances, AWS CloudTrail, Amazon Route 53, and other sources. Amazon CloudWatch Logs helps you to centralize logs from all of your systems, applications, and Amazon Web Services (AWS) offerings in a single, highly scalable service. •Course level: Fundamental •Duration: 20 minutes Activities This course includes presentations. Course objectives In this course, you will learn to: •Define monitoring, and identify resources monitored in AWS Managed Services (AMS). •Describe the Incident Management process and the accelerated recovery path. •Define log management in AMS. •Identify how customers request access to logs. Intended audience This course is intended for: •AMS customers Prerequisites We recommend that attendees of this course have: •Fundamental understanding of AWS services Course outline Section 1: How to Use This Course Section 2: CloudWatch Monitoring and Log Management Section 3: Feedback ", + "long_description": "", + "duration": "000:20:00", + "externalid": "E-7VRMX1", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11623, + "title": "Management & Governance", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 12023, + "title": "Cloud Operator", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11828, + "title": "02.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 614668, + "learningobject_type": "Content", + "name": "AWS Managed Services (AMS): Advanced Operational Integration", + "display_name": "AWS Managed Service (AMS) - Advanced Operational Integration", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=wTCKyk0iluw_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-22T16:50:58.15", + "updated_date": "2024-03-22T16:51:30.21", + "short_description": "Course description In this video, a Principal Cloud Service Delivery Manager (CSDM) defines AMS Operational Integration, the importance of the Amazon Web Services (AWS) root email address, and tag-based alert notifications (TBANs). You will learn about the AMS Contact Service and how it defines various classifications of incident contexts (security, patching, or backup incidents) to escalate to the appropriate contacts if a critical event occurs. Finally, you will learn about alternative options to integrate with AMS using the AWS Support Slack app, AWS Service Management Connectors, APIs, and AWS Support Case Activity Notifier. ‐ Course level: Fundamental ‐ Duration: 15 minutes Activities This course includes presentations. Course objectives In this course, you will learn to: ‐ Define AMS Operational Integration. ‐ Describe the importance of the AWS root email address and TBANs. ‐ Identify the AMS Contact Service. ‐ Explain the purpose of AWS Service Management Connectors. ‐ Recap how the Slack app and AWS Support Case Activity Notifier are used for AMS integration. 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Intended audience This course is intended for: ‐ AWS customers ‐ AWS Partners Prerequisites We recommend that attendees of this course have: ‐ A basic understanding of AWS services Course outline Lesson 1: SAP Core Concepts Lesson 2: SAP Architecture Lesson 3: Adoption Scenarios for AWS for SAP Lesson 4: Hosting AWS for SAP Lesson 5: Solutions, Licensing, and AWS for SAP Support Model ts Lesson 2: SAP Architecture Lesson 3: Adoption Scenarios for AWS for SAP Lesson 4: Hosting AWS for SAP Lesson 5: Solutions, Licensing, and AWS for SAP Support Model ", + "long_description": "", + "duration": "000:45:00", + "externalid": "E-0YXJ5G", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 12004, + "title": "SAP on AWS", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 614666, + "learningobject_type": "Content", + "name": "AWS Managed Services (AMS) GameDay Fundamentals", + "display_name": "AWS Managed Services (AMS) Gameday Fundamentals", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=paAZbcd5oaQ_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-22T16:02:13.347", + "updated_date": "2024-03-22T16:02:31.94", + "short_description": "An AWS Managed Services (AMS) GameDay simulates an operational or security incident response. 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AMS Senior Cloud Service Delivery Manager Jeremy Tennant addresses the challenges that AMS Self-Service Reporting solves, how you can integrate your business intelligence tools with Self-Service Reporting, and provides a demonstration of the service in the AMS Console. •Course level: Fundamental •Duration: 10 minutes Activities This course includes presentations. Course objectives In this course, you will: •Understand how AMS Self-Service Reporting helps create a complete picture of your data. •Understand how AMS Self-Service Reporting fills in gaps in your data sets in real time, allowing you access to reporting outside of your AMS Monthly Business Review. •Understand how to integrate the data provided by AMS Self-Service Reporting with your organizations business intelligence tools. •Understand how to integrate the data provided by AMS Self-Service Reporting with your organizations business intelligence tools. 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In this course, you will learn the benefits, typical use cases, and core concepts of Customer Profiles. You will explore real-world implementation scenarios and identify the key considerations to planning a secure, cost-effective implementation. •Course level: Fundamental •Duration: 40 minutes Activities This course includes presentations and assessments. Course objectives In this course, you will learn to: •Understand how Customer Profiles works. •Familiarize yourself with the core concepts and terminology of Customer Profiles. •Explore typical use cases for Customer Profiles. •Recognize what it takes to implement Customer Profiles in real-world scenarios. •Identify cost, security, and other considerations important to planning Customer Profiles implementation. Intended audience This course is intended for Contact Center professionals, including those in roles such as Contact Center engineer, technologist, implementation consultant, and IVR designer. Prerequisites No prerequisites needed. Course outline •Introduction to Amazon Connect Customer Profiles •Using Customer Profiles •Considerations •Summary •Knowledge Check •Learn More ", + "long_description": "", + "duration": "000:40:00", + "externalid": "E-1GL8DQ", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11612, + "title": "Contact Center", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11800, + "title": "Project/Program/Delivery Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11821, + "title": "01.01.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 614644, + "learningobject_type": "Content", + "name": "Unleashing Innovation - The Generative AI Revolution", + "display_name": "Unleashing Innovation: The Generative AI Revolution", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=AWCjTWhxGnY_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-22T14:34:23.99", + "updated_date": "2024-03-22T14:52:22.843", + "short_description": "We find ourselves in a society where the line between what is created by humans, and what is created by machines, is increasingly blurred. Generative AI has been a turning point in how we create, design, and interact with technology. But how does it work, what are the benefits beyond novelty and what are the risks? Join us for an approachable introduction into how Generative AI works in a no-nonsense, understandable way; and how we can use this technology not just as a stand-alone tool, but in collaborative partnership to responsibly drive innovation and transformation. •Course level: Fundamental •Duration: 1 Hour 30 Minutes Activities: This course includes presentations based on practical examples, with use-cases and demonstrations. Course objectives: By the end of this session, attendees will be able to: •Define artificial intelligence, machine learning, and the three types of machine learning •Describe how machine learning algorithms learn and subsequently output a machine learning model •Understand the difference between traditional machine learning algorithms and deep learning algorithms •Describe how artificial neural networks work •Understand the difference between discriminative (predictive) AI and generative AI •Describe how Large Language Models (LLMs) are trained and used for text generation •Understands the purpose and importance of Foundation Models (FMs) and how prompt engineering and fine-tuning can be used to customize FMs. •Describe how diffusion models are trained and used for image generation •Describe the practical applications of generative AI •Identify issues surrounding responsible and inclusive use of generative AI Intended audience: This course is intended for: •Non-technical enthusiasts •Technical enthusiasts •Decision makers Prerequisites: None Course outline: Introduction •This section provides overall context of the current state of the artificial intelligence and machine learning landscape. It starts from the basics with a definition of artificial intelligence before drilling-down into machine learning and the three main types of machine learning: supervised, unsupervised, and reinforcement learning. There is a high-level discussion about how these enable artificial intelligence and machine learning to actually learn, which leads into comprehensive coverage about deep learning and artificial neural networks - the technologies which underpin generative AI. •What is artificial intelligence? • •What is machine learning? Supervised learning Unsupervised learning Reinforcement learning •How does machine learning learn? •What is deep learning? Artificial neural networks •Discriminative AI Generative AI In this section we dive-deep into two of the most popular, and well-known, forms of generative AI: text generation and Natural Language Processing, and image generation and diffusion models. •Text generation and Natural Language Processing The cornerstone of text generation and Natural Language Processing are Large Language Models (LLMs). We go in-depth about what is an LLM and how these are more advanced and effective than traditional machine learning approaches towards solving text-focused problems - with particular focus on transformer architectures. We then discuss how these work and can be developed to address practical use-cases utilising your own data. This leads into the final part of the module covering Foundation Models (FMs) which significantly lower the cost of entry for organisations towards using generative AI through access to pre-trained, high-performance LLMs. •What is a Large Language Model? •How does this differ from past approaches? •Transformer architectures •Conditional text generation •Developing Large Language Models (LLMs) •Demo: Foundation Models with Amazon SageMaker JumpStart •Image generation and diffusion models Dynamic image generation and synthesis has gained significant advancements over the past few years, particularly with the introduction of diffusion based models which is the focus of this section. We discuss how diffusion models work and can be trained to not only generate images, but generate images based on a prompt provided by the user to guide the types of images generated. •Diffusion models •Training diffusion models •Effective diffusion models •Improving noise prediction and removal •Latent space •Text conditioning •Text-to-image synthesis •Demo: Stable Difffusion with Amazon SageMaker JumpStart Practical uses of generative AI While generative AI has gained widespread attention through consumer-facing applications, real benefits for organisations can come through business-facing applications. While traditional AI approaches have been available for some time, generative AI brings a new wave of possibilities which were not possible with these traditional approaches. This section discusses some of the practical-use cases of generative AI for organisations. •Content generation •Prototyping •Data analytics •Content analysis •Chatbots and virtual assistants •Creativity benefits Responsible and inclusive AI Like with any technology, there is scope for misuse and misrepresentation. This final module of the course discusses ways that responsible and inclusive products and services can be built using generative AI. •Scope of generative AI •Impact on underrepresented groups •Toxicity •Hallucinations •Intellectual property •Plagiarism and cheating •Disruption of the nature of work Conclusion: Building responsible AI products and services The conclusion to the course provides next steps for attendees who are keen to continue their journey in generative AI, with suggestions about courses and learning pathways available through AWS Training & Certification. 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In this fun and engaging AWS Twitch Live Stream, we see Paul Colmer describe the versions of Amazon Q and perform a hands-on demonstration of the Amazon Q for business use service. Course level: Fundamental •Duration: 3 minutes Activities This course includes a live-stream discussion and demonstration of Amazon Q for business use. Course objectives In this course, attendees will be able to: •Describe the Amazon Q service. •Understand the different versions of the Amazon Q service. •Explain the use of data source connectors to add context and meaning to a prompt. •Understand the purpose of a retriever when connecting a data-source. •Understand how the service works and be able to use Amazon Q by asking questions. •Understand how Amazon Q can reference data sources within a prompt response, based on the data source that is connected. 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Amazon Bedrock is a serverless service that hosts foundation models in a secure way. •Course level: Fundamental •Duration: 23 Minutes Course objectives In this course, attendees will be able to: •Describe the Amazon Q service. •Understand the different versions of the Amazon Q service. •Explain the use of data source connectors to add context and meaning to a prompt. •Understand the purpose of a retriever when connecting a data-source. •Understand how the service works and be able to use Amazon Q by asking questions. •Understand how Amazon Q can reference data sources within a prompt response, based on the data source that is connected. Intended audience This course is intended for: •Non-technical enthusiasts •Technical enthusiasts •Decision makers Prerequisites None ", + "long_description": "", + "duration": "00:23:23", + "externalid": "E-1KNY8N", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "STREAMING" + }, + { + "learningobject_id": 611336, + "learningobject_type": "Content", + "name": "Building a Generative AI-Ready Organization (Korean)", + "display_name": "Building a Generative AI-Ready Organization (Korean)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=HIUg+g2MMhQ_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-05T14:07:42.753", + "updated_date": "2024-03-05T14:07:42.753", + "short_description": "과정 설명 비즈니스 및 기술 의사 결정권자를 위한 생성형 AI Essentials 3부 시리즈의 마지막 과정인 Building a Generative AI-Ready Organization입니다. 아직 완료하지 않았다면 시리즈의 첫 번째 과정인 Introduction to Generative AI: Art of the Possible부터 시작하는 것을 권장합니다. 이 과정을 마치면 생성형 AI에 대해 준비된 조직을 구축하기 위한 주요 고려 사항을 설명할 수 있습니다. 직원의 기술을 향상하고 업무 환경에 생성형 AI 사고를 불어넣을 수 있는 도구와 지식을 갖추게 됩니다. • 과정 수준: 초보자 • 소요 시간: 1시간 활동 이 과정에는 대화형 요소와 텍스트 지침이 포함되어 있습니다. 과정 목표 이 과정에서 학습할 내용은 다음과 같습니다. • 생성형 AI를 조직에 통합하기 위해 알아야 할 주요 개념과 전략을 설명합니다. • 생성형 AI에 대해 준비된 조직을 구축하는 방법을 설명합니다. • 직원과의 논의를 구성하고 직면할 수 있는 문제를 극복하는 방법을 설명합니다. • 생성형 AI를 성공적으로 구현하는 데 있어 거버넌스 및 조직 구조의 중요성에 대해 설명합니다. 수강 대상 이 과정의 수강 대상은 다음과 같습니다. • 비즈니스 의사 결정권자   수강 전 권장 사항 이 과정은 비즈니스 및 기술 의사 결정권자를 위한 생성형 AI Essentials 시리즈의 마지막 과정입니다. 이 과정을 수강하기 전에 시리즈의 첫 두 과정을 먼저 완료하는 것이 좋습니다. • Introduction to Generative AI: Art of the Possible • Planning a Generative AI Project 과정 개요 섹션 1: 과정 학습 방법 섹션 2: 소개 • 생성형 AI 조직 개요 섹션 3: 조직 준비 • 리더와 함께 시작하기 • 직원이 준비하도록 하기 섹션 4: 성공을 위한 조직화 • 클라우드 운영 모델 • 팀 성공 • 거버넌스 모델 확립 섹션 5: 지금 행동 • 생성형 AI 사고 불어넣기 • 생성형 AI 사용을 통한 직원 역량 강화 섹션 6: 마무리 • 결론 ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-1LNYYZ", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11596, + "title": "Korean", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 611335, + "learningobject_type": "Content", + "name": "Amazon Transcribe come iniziare (Italiano) Amazon Transcribe Getting Started (Italian)", + "display_name": "Amazon Transcribe: come iniziare (Italiano) | Amazon Transcribe Getting Started (Italian)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=gPdWEpqwt/g_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-05T13:59:48.6", + "updated_date": "2024-03-05T13:59:48.6", + "short_description": "Descrizione del corso Amazon Transcribe è un servizio di intelligenza artificiale (AI) completamente gestito che ti aiuta a convertire il parlato in testo tramite la tecnologia del riconoscimento vocale automatico (automatic speech recognition, ASR). In questo corso della serie Come iniziare, scoprirai quali sono i vantaggi, le funzionalità, i casi d'uso più frequenti, i concetti tecnici e i costi di Amazon Transcribe. Esaminerai l’architettura per una soluzione di trascrizione mediante Amazon Transcribe, che puoi adattare ulteriormente al tuo caso d’uso. Tramite un’esercitazione guidata composta da un video narrato, istruzioni passo passo e trascrizioni, eseguirai anche una trascrizione in tempo reale e in batch nel tuo account Amazon Web Services (AWS). Livello del corso: base • Durata: 1,5 ore Attività Questo corso comprende presentazioni, rappresentazioni grafiche e un tutorial con istruzioni dettagliate da seguire. Obiettivi del corso Attività del corso: • Capire come funziona Amazon Transcribe. • Familiarizzare con i concetti base di Amazon Transcribe. • Riconoscere i vantaggi di Amazon Transcribe. • Enumerare i casi d'uso tipici di Amazon Transcribe. • Descrivere le architetture tipicamente associate a una soluzione Amazon Transcribe. • Specificare cosa è necessario per implementare Amazon Transcribe in uno scenario reale. • Comprendere la struttura dei costi di Amazon Transcribe. • Implementare una dimostrazione di Amazon Transcribe nella Console di gestione AWS. Prerequisiti Prima di partecipare al corso, i partecipanti sono invitati a completare la seguente formazione: • Elementi tecnici essenziali per AWS   Programma del corso • Introduzione ad Amazon Transcribe • Architettura e casi d’uso • Come si crea una trascrizione in tempo reale nella Console di gestione AWS? • Come si crea una trascrizione in batch nella Console di gestione AWS? • Come si crea una trascrizione usando un vocabolario personalizzato? 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Dengan bantuan contoh pembuatan konten, kami mengilustrasikan seni kemungkinan. Pada akhir kursus, pemelajar harus bisa menjelaskan dasar-dasar AI generatif, risiko dan manfaatnya. Pemelajar juga harus bisa menyampaikan dengan jelas bagaimana pembuatan konten bisa digunakan dalam bisnis mereka. • Tingkat kursus: Pemula • Durasi: 1 jam Aktivitas Kursus ini meliputi unsur interaktif, video, instruksi teks, dan grafik ilustratif. Tujuan kursus Dalam kursus ini, Anda akan mempelajari cara: • Menjelaskan AI generatif dan bagaimana itu selaras dengan machine learning. • Mendefinisikan pentingnya AI generatif dan menjelaskan potensi risiko dan manfaatnya. • Mengidentifikasi nilai bisnis dari kasus penggunaan AI generatif. Sasaran audiens Kursus ini ditujukan untuk: • Pengambil keputusan bisnis Prasyarat Sebaiknya peserta kursus ini: • Tidak harus mengikuti kursus apa pun karena ini adalah kursus pertama dari serangkaian pelatihan digital tentang AI generatif untuk pengambil keputusan bisnis dan teknis. Skema kursus Bagian 1: Pengantar AI Generatif • Gambaran Umum ML • Dasar-Dasar AI Generatif • Kasus penggunaan AI generatif Bagian 2: Pentingnya AI Generatif • Praktik AI Generatif • Risiko dan Manfaat • Kesimpulan ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VX2XLP", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11603, + "title": "Indonesian", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 611320, + "learningobject_type": "Content", + "name": "Building a Generative AI-Ready Organization (Indonesian)", + "display_name": "Building a Generative AI-Ready Organization (Indonesian)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=qPsbraRNQmc_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-05T13:34:30.79", + "updated_date": "2024-03-05T13:53:18.977", + "short_description": "Deskripsi kursus Building a Generative AI-Ready Organization adalah kursus terakhir dari rangkaian tiga bagian Generative AI Essentials for Business and Technical Decision Makers. Jika Anda belum melakukannya, kami sarankan Anda memulai dengan kursus pertama dalam seri ini, Introduction to Generative AI: Art of the Possible. Di akhir kursus, Anda akan mampu menjelaskan pertimbangan utama untuk membangun organisasi yang siap menggunakan AI generatif. Anda akan dibekali dengan alat dan pengetahuan untuk meningkatkan keterampilan karyawan dan menanamkan pemikiran AI generatif di tempat kerja Anda. • Tingkat kursus: Pemula • Durasi: 1 jam Aktivitas Kursus ini mencakup elemen interaktif dan instruksi teks. Tujuan kursus Dalam kursus ini, Anda akan mempelajari cara: • Menjelaskan konsep dan strategi utama yang perlu Anda ketahui untuk mengintegrasikan AI generatif ke dalam organisasi Anda • Menjelaskan cara membangun organisasi generatif yang siap menggunakan AI • Menjelaskan cara menyusun diskusi dengan karyawan dan mengatasi tantangan yang mungkin Anda hadapi • Menjelaskan pentingnya tata kelola dan struktur organisasi dalam penerapan AI generatif dengan sukses Sasaran peserta Kursus ini ditujukan untuk: • Pengambil keputusan bisnis Prasyarat Kursus ini merupakan kursus terakhir dalam seri Generative AI Essentials for Business and Technical Decision Makers. Kami menyarankan Anda menyelesaikan dua kursus pertama dalam seri ini sebelum mengambil kursus ini. • Introduction to Generative AI: Art of the Possible • Planning a Generative AI Project   Skema kursus Bagian 1: Cara Menggunakan Kursus Ini Bagian 2: Pengantar • Gambaran Umum Organisasi AI Generatif Bagian 3: Mempersiapkan Organisasi Anda • Mulailah dengan Pemimpin Anda • Persiapkan Karyawan Anda Bagian 4: Pengorganisasian untuk Kesuksesan • Model Pengoperasian Cloud • Kesuksesan Tim • Membangun Model Tata Kelola Bagian 5: Mengambil Tindakan Sekarang • Menanamkan Pemikiran AI Generatif • Meningkatkan Keterampilan Karyawan dalam Penggunaan AI Generatif Bagian 6: Penutup • Kesimpulan ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-07YNX2", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11603, + "title": "Indonesian", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 611319, + "learningobject_type": "Content", + "name": "Fondamentaux du Cloud AWS (Français) (Na) Cloud Essentials (French) (Na)", + "display_name": "Fondamentaux du Cloud AWS (Français) (Na) | Cloud Essentials (French) (Na)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=2JomVq/Ytuo_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-03-05T13:29:04.403", + "updated_date": "2024-03-05T13:51:06.05", + "short_description": "Description du cours Ce cours est une introduction à AWS couvrant les concepts de base ainsi que les avantages du Cloud AWS. Objectifs du cours Ce cours a pour objectif de vous familiariser avec les services fondamentaux d'AWS, l'infrastructure et la tarification. Public visé Ce cours est destiné aux débutants : des profils non techniques sans expérience AWS et des profils techniques également sans expérience AWS. Prérequis Aucun prérequis Déroulement du cours • Calcul • Stockage • Base de données • Mise en reseau • Sécurité ", + "long_description": "", + "duration": "000:21:16", + "externalid": "E-1KNY4E", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11602, + "title": "French", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11610, + "title": "Cloud Essentials", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "STREAMING" + }, + { + "learningobject_id": 610226, + "learningobject_type": "Content", + "name": "Amazon Transcribe Getting Started (Spanish from Spain)", + "display_name": "Introducción a Amazon Transcribe (Español de España) | Amazon Transcribe Getting Started (Spanish from Spain)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=EVyB/KD45tY_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-02-29T14:17:29.06", + "updated_date": "2024-02-29T14:17:29.06", + "short_description": "Descripción del curso: Amazon Transcribe es un servicio de inteligencia artificial (IA) completamente administrado que te ayuda a convertir voz a texto usando la tecnología de reconocimiento automático de voz (ASR). 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Objetivos del curso: En este curso, vas a hacer lo siguiente: • Entender cómo funciona Amazon Transcribe. • Familiarizarte con los conceptos básicos de Amazon Transcribe. • Identificar los beneficios de Amazon Transcribe. • Enumerar los casos prácticos típicos de Amazon Transcribe. • Describir las arquitecturas típicas asociadas a una solución Amazon Transcribe. • Especificar qué se necesita para implementar Amazon Transcribe en una situación de la vida real. • Entender la estructura de precios de Amazon Transcribe. • Implementar una demostración de Amazon Transcribe en la consola de administración de AWS. Requisitos previos Recomendamos a los asistentes a este curso que completen con anterioridad uno de los siguientes cursos: • Fundamentos técnicos de AWS   Esquema del curso • Introducción a Amazon Transcribe • Arquitectura y casos prácticos • ¿Cómo se crea una transcripción en tiempo real en la consola de administración de AWS? • ¿Cómo se crea una transcripción por lotes en la consola de administración de AWS? • ¿Cómo se crea una transcripción usando un vocabulario personalizado? 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Descripción del curso

Creación de una organización preparada para la IA generativa es el último curso de la serie de tres partes Fundamentos de la IA generativa para los responsables de la toma de decisiones empresariales y técnicas. Si aún no lo has hecho, te recomendamos que empieces por el primer curso de la serie, Introducción a la IA generativa: el arte de lo posible.

Al final del curso, deberías ser capaz de describir las consideraciones clave que se deben tener en cuenta a la hora de crear una organización preparada para la IA generativa. Se te ofrecerán las herramientas y el conocimiento necesario para mejorar las habilidades de los empleados e inculcar el pensamiento de la IA generativa en el lugar de trabajo.

Actividades

En este curso se incluyen elementos interactivos e instrucciones de texto.

Objetivos del curso

En este curso, aprenderás a hacer lo siguiente:

Público objetivo

Este curso está dirigido al siguiente público:

 


Requisitos previos

Este curso es el último de la serie Fundamentos de la IA generativa para responsables de la toma de decisiones empresariales y técnicas. Te recomendamos que completes los dos primeros cursos de la serie antes de hacer este.

Esquema del curso

Sección 1: cómo utilizar este curso

Sección 2: introducción

Sección 3: preparación de la organización

Sección 4: disposición para el éxito

Sección 5: adopción de medidas en este momento

Sección 6: resumen

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AWS IoT Core provides secure, bidirectional communication between internet-connected devices, such as sensors, actuators, embedded microcontrollers, or smart appliances and the AWS Cloud.


 

In this course, you will learn how to securely connect a device to the cloud using AWS IoT Core, and ensure that an AWS IoT policy is properly set up to allow the sensor to publish messages on a specified topic.


 

As you progress through this course, you relate the concepts that you are learning about to a real-world use case of a food services company trucking ice cream products to stores.


 

 

Activities


 

This course includes online materials and knowledge check questions.


 


 

 

Course objectives


 

In this course, you will learn to:


 

 

Intended audience

This course is intended for developers and solutions architects who are familiar with the AWS Cloud.


 

 

Prerequisites


 

This course assumes you have completed the course Getting Started with AWS IoT, or have equivalent knowledge of the AWS Internet of Things (IoT) concepts covered.


 


 

 

Course outline


 

Section 1: Introduction

Section 2: Connecting Devices to AWS IoT Core

Section 3: Securing Devices and Authorizing Actions

Section 4: Summary and Conclusion

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Com a ajuda de um exemplo de geração de conteúdo, ilustramos a arte do possível. Ao final do curso, os alunos deverão ser capazes de descrever os fundamentos da IA generativa, seus riscos e benefícios. Eles também devem ser capazes de articular como a geração de conteúdo pode ser usada em seus negócios. • Nível do curso: Iniciante • Duração: 1 hora Atividades Este curso inclui elementos interativos, vídeos, instruções em texto e gráficos ilustrativos. Objetivos do curso Neste curso, você aprenderá a: • Descrever a IA generativa e como ela se alinha ao Machine Learning. • Definir a importância da IA generativa e explicar seus possíveis riscos e benefícios. • Identificar o valor comercial dos casos de uso de IA generativa. Público-alvo Este curso destina-se a: • Tomadores de decisões empresariais. Pré-requisitos Recomendamos que os participantes deste curso tenham: • Nenhum pré-requisito, pois este é o primeiro curso de uma série de treinamentos digitais sobre IA generativa para tomadores de decisões técnicas e comerciais. 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Recomendamos que você comece pelo primeiro curso da série, Introdução à IA generativa - a arte do possível, antes de fazer este curso. 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Se você ainda não o fez, recomendamos que você comece pelo primeiro curso da série, Introdução a IA generativa: a arte do possível. Ao final do curso, você deve conseguir descrever as principais considerações para a criação de uma organização pronta para o uso da IA generativa. Você terá as ferramentas e o conhecimento para qualificar os funcionários e inserir a ideia da IA generativa no seu local de trabalho. • Nível do curso: Iniciante • Duração: 1 hora Atividades Este curso inclui elementos interativos e instruções de texto. Objetivos do curso Neste curso, você aprenderá a: • Descrever os principais conceitos e estratégias que você precisa saber para integrar a IA generativa na sua organização • Descrever como criar uma organização pronta para o uso da IA generativa • Descrever como estruturar as discussões com os seus funcionários e superar os desafios que você pode encontrar • Descrever a importância da governança e da estrutura organizacional na implementação bem-sucedida da IA generativa Público-alvo Este curso destina-se a: • Tomadores de decisões empresariais   Pré-requisitos Este é o último curso da série Elementos essenciais de IA generativa para tomadores de decisões técnicas e empresariais. Nós recomendamos que você conclua os dois primeiros cursos da série antes de começar este. • Introdução a IA generativa: a arte do possível • Planejamento de projeto de IA generativa Descrição do curso Seção 1: Como usar este curso Seção 2: Introdução • Visão geral da organização da IA generativa Seção 3: Prepare sua organização • Comece com os seus líderes • Prepare os seus funcionários Seção 4: Organize-se para o sucesso • Modelo operacional em nuvem • Sucesso da equipe • Estabelecimento de um modelo de governança Seção 5: Comece a agir agora • Inserção da ideia da IA generativa • Capacitação de funcionários para o uso da IA generativa Seção 6: Conclusão • Conclusão ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-1LNYOY", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11601, + "title": "Portuguese", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605547, + "learningobject_type": "Content", + "name": "Conceitos básicos do Amazon Transcribe (Português) | Amazon Transcribe Getting Started (Portuguese)", + "display_name": "Conceitos básicos do Amazon Transcribe (Português) | Amazon Transcribe Getting Started (Portuguese)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=Mbhn/CB6zzQ_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-02-01T14:48:01.14", + "updated_date": "2024-02-01T14:48:01.14", + "short_description": "Descrição do curso O Amazon Transcribe é um serviço de inteligência artificial (IA) totalmente gerenciado que ajuda você a converter fala em texto usando tecnologia de reconhecimento automático de fala (ASR). Neste curso de introdução, você aprenderá sobre os benefícios, recursos, casos de uso típicos, conceitos técnicos e custos do Amazon Transcribe. Você analisará uma arquitetura para uma solução de transcrição usando o Amazon Transcribe, que pode ser adaptada ao seu caso de uso. Por meio de um tutorial guiado que consiste em um vídeo narrado, instruções passo a passo e transcrição, você também testará transcrição em lote em tempo real em sua própria conta Amazon Web Services (AWS). Nível do curso: básico • Duração: 1h30 Atividades: Este curso inclui apresentações, gráficos e um tutorial passo a passo para acompanhar. Objetivos do curso: Neste curso, você vai: • Entender como o Amazon Transcribe funciona. • Familiarizar-se com os conceitos básicos do Amazon Transcribe. • Reconhecer os benefícios do Amazon Transcribe. • Listar casos de uso típicos para o Amazon Transcribe. • Descrever as arquiteturas típicas associadas a uma solução Amazon Transcribe. • Especificar o que é necessário para implementar o Amazon Transcribe em um cenário do mundo real. • Entender a estrutura de custos do Amazon Transcribe. • Implementar uma demonstração do Amazon Transcribe no Console de Gerenciamento da AWS. Pré-requisitos Recomendamos que os participantes deste curso tenham concluído os seguintes treinamentos: • Elementos técnicos essenciais da AWS   Conteúdo do curso • Introdução ao Amazon Transcribe • Arquitetura e casos de uso • Como criar uma transcrição em tempo real no Console de Gerenciamento da AWS? • Como criar uma transcrição em lote no Console de Gerenciamento da AWS? • Como criar uma transcriação usando um vocabulário personalizado? 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Amazon ECR은 고성능 호스팅을 제공하는 완전관리형 컨테이너 레지스트리이므로 애플리케이션 이미지와 아티팩트를 어디서나 안정적으로 배포할 수 있습니다. 이 과정에서는 Amazon ECR의 이점 및 기술적 개념을 학습합니다. 서비스를 처음 사용하는 경우 AWS Management Console을 사용하는 데모를 통해 Amazon ECR 시작 방법을 학습합니다. 네이티브 아키텍처에 대해 알아보고 내장 기능이 Amazon ECR 레지스트리에서 컨테이너 이미지의 관리, 저장 및 배포를 간소화하는 데 어떻게 도움이 되는지 알아봅니다. • 과정 수준: 기초 • 소요 시간: 30분 활동 이 과정에는 프레젠테이션, 그래픽, 도구, 대화형 활동이 포함되어 있습니다. 과정 목표 이 과정에서 학습할 내용은 다음과 같습니다. • Amazon ECR의 작동 방식을 알아봅니다. • Amazon ECR의 기술 개념을 숙지합니다. • Amazon ECR의 일반적인 사용 사례를 살펴봅니다. • Amazon ECR의 이점을 알아봅니다. • Amazon ECR의 비용 구조를 이해합니다. • AWS Management Console에서 Amazon ECR을 사용하는 방법을 살펴봅니다. 수강 대상 이 과정의 수강 대상은 다음과 같습니다. • 개발자 • 시스템 관리자 • DevOps 엔지니어 • 클라우드 아키텍트 수강 전 권장 사항 없음 과정 개요 • 소개 • Introduction to Amazon ECR • 아키텍처 및 사용 사례 • Amazon ECR 사용 • Amazon ECR 리포지토리 생성 • 컨테이너를 Amazon ECR 리포지토리로 푸시 • Amazon ECR 복제 켜기 • Amazon ECR 리소스 해체 • 자세히 알아보기 및 추가 리소스 ", + "long_description": "", + "duration": "000:30:00", + "externalid": "E-0YXW6X", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11596, + "title": "Korean", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11613, + "title": "Containers", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11792, + "title": "DevOps Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11794, + "title": "Infrastructure Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11795, + "title": "Security Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 12023, + "title": "Cloud Operator", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605340, + "learningobject_type": "Content", + "name": "Planning a Generative AI Project (Japanese)", + "display_name": "Planning a Generative AI Project (Japanese)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=tavhEJlWLJs_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T17:22:34.303", + "updated_date": "2024-01-31T17:22:34.303", + "short_description": "このコースでは、生成系人工知能 (AI) に関する技術的な基本と主要な用語について学びます。また、生成系 AI プロジェクトを計画するためのステップを学び、生成系 AI を使用するリスクと利点を評価します。 • コースのレベル: 初心者向け • 所要時間: 1 時間 この “Planning a Generative AI Project (Japanese)” は ”Generative AI Essentials for Business and Technical Decision Makers” という 3 部構成のシリーズの 2 番目のコースとなります。シリーズの最初のコース “Introduction to Generative AI - Art of the Possible (Japanese) (Sub) 日本語字幕版” 未履修の場合はそちらから受講してください。 アクティビティ このコースには、テキストによる説明および図解グラフが含まれています。 コースの目標 このコースでは以下の方法を学習します。 • 生成系 AI 向けの技術的な基本と用語について説明する。 • 生成系 AI プロジェクトを計画する際のステップを説明する。 • 生成系 AI を使用する際のリスクと緩和策をいくつか特定する。 対象者 このコースは以下のような方を対象としています。 • ビジネスおよび技術面の意思決定者 前提条件 このコースは “Generative AI Essentials for Business and Technical Decision Makers” シリーズの 2 番目のコースです。本コースを履修する前に、シリーズの最初のコース “Introduction to Generative AI - Art of the Possible (Japanese) (Sub) 日本語字幕版” を修了することをおすすめします。 コースの概要 セクション 1: 生成系 AI の技術的な基本と用語 • 生成系 AI の基礎 • 生成系 AI の実用 • 生成系 AI のコンテキスト セクション 2: 生成系 AI プロジェクトの計画 • 生成系 AI プロジェクトの計画におけるステップ セクション 3: プロジェクトにおける生成系 AI の活用を評価する • リスクと緩和策 • まとめ ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-033N94", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11598, + "title": "Japanese", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11790, + "title": "Decision Maker", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605338, + "learningobject_type": "Content", + "name": "Creazione di una organizzazione pronta per l'AI generativa (Italiano) | Building a Generative AI-Ready Organization (Italian)", + "display_name": "Creazione di una organizzazione pronta per l'AI generativa (Italiano) | Building a Generative AI-Ready Organization (Italian)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=lemIHE/zPu0_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T17:12:53.67", + "updated_date": "2024-02-16T10:07:54.087", + "short_description": "Creazione di una organizzazione pronta per l'AI generativa è l'ultimo corso della serie in tre parti Elementi essenziali di AI generativa per i responsabili delle decisioni tecniche e aziendali. Se non lo hai già fatto, ti consigliamo di iniziare dal primo corso della serie: Introduzione all'AI generativa: l'arte del possibile. Alla fine del corso sarai in grado di descrivere le considerazioni chiave per la creazione di un'organizzazione pronta per l'AI generativa Acquisirai inoltre gli strumenti e le conoscenze necessarie per migliorare le competenze dei dipendenti e diffondere il pensiero dell'AI generativa nell'ambiente di lavoro. Livello: Principiante Durata: 1 ora Attività Questo corso include elementi interattivi e istruzioni testuali. Obiettivi del corso In questo corso, imparerai a: descrivere i concetti e le strategie chiave che devi conoscere per integrare l'AI generativa nella tua organizzazione; descrivere il processo di creazione di un'organizzazione pronta per l'AI generativa; descrivere le modalità con cui impostare discussioni con i tuoi dipendenti e superare gli ostacoli che potresti incontrare; descrivere l'importanza della governance e della struttura organizzativa per un'implementazione dell'AI generativa di successo. Destinatari principali Questo corso è destinato a: responsabili delle decisioni aziendali. Prerequisiti Questo corso è l'ultimo della serie denominata: Elementi essenziali di AI generativa per i responsabili delle decisioni tecniche e aziendali. Ti consigliamo di completare i primi due corsi della serie prima di iniziare questo corso. Introduzione all'AI generativa: l'arte del possibile Pianificare un progetto di AI generativa Programma del corso Sezione 1: Come utilizzare questo corso Sezione 2: Introduzione Panoramica dell'AI generativa in un'organizzazione Sezione 3: Preparazione dell'organizzazione Interfacciarsi con i leader Preparazione dei dipendenti Sezione 4: Organizzazione efficace Modello operativo cloud Successo dei team Definizione di un modello di governance Sezione 5: Agire subito Diffusione del pensiero dell'AI generativa Migliorare le competenze dei dipendenti nell'uso dell'AI generativa Sezione 6: Riepilogo Conclusione ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-0JMQY9", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11597, + "title": "Italian", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605335, + "learningobject_type": "Content", + "name": "Planning a Generative AI Project (Indonesian)", + "display_name": "Planning a Generative AI Project (Indonesian)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=zHDP/wUXAiU_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T16:57:19.53", + "updated_date": "2024-01-31T16:58:27.39", + "short_description": "Planning a Generative AI Project adalah kursus kedua dari seri tiga bagian yang disebut Generative AI Essentials for Business and Technical Decision Makers. Jika Anda belum melakukannya, mulailah dengan kursus pertama dalam seri ini, Introduction to Generative AI - Art of the Possible. Dalam kursus ini, Anda akan mempelajari dasar-dasar teknis dan terminologi kunci yang terkait dengan kecerdasan buatan (AI) generatif. Anda akan mempelajari langkah-langkah untuk merencanakan proyek AI generatif, dan mengevaluasi risiko serta manfaat penggunaan AI generatif. Tingkat kursus: Pemula Durasi: 1 jam Aktivitas Kursus ini meliputi instruksi teks, dan grafik ilustratif. Tujuan kursus Dalam kursus ini, Anda akan mempelajari cara: Mendiskusikan dasar-dasar teknis dan terminologi kunci untuk AI generatif. Menjelaskan langkah-langkah untuk merencanakan proyek AI generatif. Mengidentifikasi beberapa risiko dan mitigasi saat menggunakan AI generatif. Sasaran peserta Kursus ini ditujukan untuk: Pengambil keputusan bisnis dan teknis Prasyarat Kursus ini merupakan kursus kedua dalam seri Generative AI Essentials for Business and Technical Decision Makers. Disarankan agar Anda menyelesaikan kursus pertama dalam seri ini, Introduction to Generative AI - Art of the Possible, sebelum mengikuti kursus ini. Skema kursus Bagian 1: Dasar-Dasar Teknis dan Terminologi untuk AI Generatif Dasar-Dasar AI Generatif AI Generatif dalam Praktik Konteks AI generatif Bagian 2: Merencanakan Proyek AI Generatif Langkah-langkah dalam Merencanakan Proyek AI Generatif Bagian 3: Mengevaluasi Penggunaan AI Generatif untuk Proyek Anda Risiko dan Mitigasi Kesimpulan", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-19WJPR", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11603, + "title": "Indonesian", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605333, + "learningobject_type": "Content", + "name": "Création d'une organisation prête pour l'IA générative (Français) | Building a Generative AI-Ready Organization (French)", + "display_name": "Création d'une organisation prête pour l'IA générative (Français) | Building a Generative AI-Ready Organization (French)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=Ei3ykbjPqzY_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T16:49:51.49", + "updated_date": "2024-01-31T16:59:05.957", + "short_description": "Création d'une organisation prête pour l'IA générative est le dernier cours d'une série de trois cours intitulée Notions essentielles de l'IA générative à l'intention des décideurs commerciaux et des décideurs techniques. Si vous ne l'avez pas encore fait, nous vous recommandons de commencer par le premier cours de la série intitulé Présentation de l'IA générative : l'Art du possible. À la fin du cours, vous devriez être capable de décrire les éléments clés à prendre en compte pour créer une organisation prête pour l'IA générative. Vous disposerez des outils et des connaissances nécessaires pour perfectionner les compétences des employés et insuffler la pensée de l'IA générative dans votre lieu de travail. Niveau du cours : débutant Durée : 1 heure Activités Ce cours inclut des éléments interactifs et des instructions sous forme de texte. Objectifs du cours Dans ce cours, vous apprendrez à : Décrire les concepts et stratégies clés que vous devez connaître pour intégrer l'IA générative à votre organisation Décrire comment créer une organisation prête pour l'IA générative Décrire comment encadrer les discussions avec vos employés et surmonter les difficultés auxquelles vous pourriez faire face Décrire l'importance de la gouvernance et de la structure organisationnelle dans la réussite de la mise en œuvre de l'IA générative Public visé Ce cours s'adresse aux personnes suivantes : Décideurs d'entreprise Prérequis Ce cours est le dernier cours de la série Notions essentielles de l'IA générative à l'intention des décideurs commerciaux et techniques. Nous vous recommandons de suivre les deux premiers cours de la série avant de commencer celui-ci. Présentation de l'IA générative : l'Art du possible Planification d'un projet d'IA générative Déroulement du cours Section 1 : Comment utiliser ce cours Section 2 : Introduction Présentation d'une organisation dotée de l'IA générative Section 3 : Préparation de votre organisation Commencer par les leaders Préparer les employés Section 4 : Préparation au succès Modèle opérationnel cloud Succès de l'équipe Mise en place d'un modèle de gouvernance Section 5 : Mesures immédiates Actions permettant d'insuffler la pensée de l'IA générative Perfectionnement des compétences des employés dans l'utilisation de l'IA générative Section 6 : Conclusion Conclusion ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VX2M48", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11602, + "title": "French", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, 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"https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=XFdr/j2sNS0_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T14:55:33.803", + "updated_date": "2024-01-31T14:55:33.803", + "short_description": "과정 설명 Amazon Elastic Container Service (Amazon ECS)를 사용하면 매우 안전하고 신뢰할 수 있으며 확장 가능한 컨테이너를 실행할 수 있습니다. 이 과정에서는 Amazon ECS의 이점 및 기술적 개념을 학습합니다. 서비스를 처음 사용하는 경우 AWS Management Console을 사용하는 데모를 통해 Amazon ECS 시작 방법을 학습합니다. 기본 아키텍처에 대해 학습하고 기본 제공 기능이 컨테이너화된 애플리케이션을 배포, 관리, 크기 조정하는 데 어떤 도움이 되는지 알아봅니다. • 과정 수준: 기초 • 소요 시간: 30분 활동 이 과정에는 프레젠테이션, 비디오, 그래픽, 도구, 대화형 활동이 포함되어 있습니다. 과정 목표 이 과정의 학습 내용은 다음과 같습니다. • Amazon ECS의 작동 방식 이해 • Amazon ECS의 기술 개념 숙지 • Amazon ECS의 일반적인 사용 사례 나열 • 실제 적용 사례에서 Amazon ECS를 구현하는 데 필요한 사항 파악 • Amazon ECS의 이점 이해 • Amazon ECS의 비용 구조 설명 • AWS Management Console을 사용하여 Amazon ECS에서 실행할 애플리케이션을 배포하는 방법 시연 수강 대상 이 과정의 수강 대상은 다음과 같습니다. • 개발자 • Solutions Architect • 클라우드 실무자 • IT 운영 엔지니어 • IT 전문가 • IT 리더 수강 전 권장 사항 없음 과정 개요 • 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"2024-01-31T14:48:17.947", + "short_description": "Amazon Neptune은 완전관리형 그래프 데이터베이스 서비스로서, 하드웨어 프로비저닝, 소프트웨어 패칭, 설정, 구성 또는 백업에 대한 걱정 없이 고도로 연결된 데이터 집합을 사용해 그래프 애플리케이션을 구축하고 실행하게 해줍니다. 이 과정에서는 Neptune의 이점, 일반적인 용례 및 기술적 개념을 학습합니다. AWS Management Console, AWS Command Line Interface(AWS CLI) 또는 프로그래밍 언어를 사용하여 데모를 통해 서비스를 체험해 볼 수도 있습니다. • 과정 수준: 기초 • 소요 시간: 1시간 활동 이 과정에는 시연, 그래픽, 대화형 활동이 포함되어 있습니다. 과정 목표 이 과정에서 학습할 내용은 다음과 같습니다. • Neptune 작동 방식 이해 • Neptune의 기술적 개념 숙지 • Neptune의 일반적인 사용 사례 나열 • 실제 적용 사례에서 Neptune을 구현하는 데 필요한 사항 지정 • Neptune의 이점 이해 • Neptune의 비용 구조 설명 • AWS Management Console에서 AWS CLI을 사용하여, 그리고 프로그래밍 언어를 통해 Neptune 사용하는 방법 시연 수강 대상 이 과정의 수강 대상은 다음과 같습니다. • 개발자 • Solutions Architect • 클라우드 실무자 • IT 운영 엔지니어 • IT 전문가 • IT 리더 • 데이터베이스 관리자 사전 조건 필요한 사전 조건이 없습니다. 과정 개요 • Neptune 소개 • 아키텍처 및 사용 사례 • AWS Management Console에서 Neptune 클러스터를 생성하려면 어떻게 해야 합니까? • Neptune 노트북을 사용해 데이터를 삽입 및 쿼리하는 방법은 무엇입니까? • Neptune 클러스터를 삭제하는 방법은 무엇입니까? • AWS CLI를 사용하여 Neptune 리소스 생성 • AWS CloudFormation으로 Neptune을 사용하는 방법은 무엇입니까? • 프로그래밍 언어로 Neptune을 사용하는 방법은 무엇입니까? • 자세히 알아보기 ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-07YXRE", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11596, + "title": "Korean", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11615, + "title": "Database", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11798, + "title": "Data Engineer", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605320, + "learningobject_type": "Content", + "name": "Introduction to Generative AI - 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FSx for ONTAP 스토리지를 배포하는 방법을 배우게 됩니다. 또한 FSx for ONTAP의 요금, 사용 가능한 관리 기능 및 모니터링 옵션에 대해서도 알아보게 됩니다. • 과정 수준: 중급 • 소요 시간: 1시간 15분 활동 이 과정에는 대화형 단원, 데모, 지식 확인 질문이 포함되어 있습니다. 과정 목표 이 과정에서는 다음을 배웁니다. • 다른 AWS 스토리지 제품 및 서비스와 차별화된 FSx for ONTAP의 이점과 기능 나열 • FSx for ONTAP의 사용 사례 파악 • FSx for ONTAP 배포의 논리적 구성 요소 파악 • FSx for ONTAP 스토리지 생성을 위한 보안 관련 옵션 표시 • FSx for ONTAP 파일 시스템, 스토리지 가상 머신(SVM), 볼륨 생성 • FSx for ONTAP 요금 모델 설명 • FSx for ONTAP에 데이터를 마이그레이션하는 옵션 표시 • FSx for ONTAP 스토리지에 수집된 주요 지표 조회 및 확인   수강 대상 이 과정의 학습 대상은 다음과 같습니다. • 클라우드 아키텍트 • 스토리지 및 클라우드 운영 관리자 수강 전 권장 사항 이 과정을 수강하기 전에 다음 조건을 갖출 것을 권장합니다. • AWS 및 클라우드 컴퓨팅에 대한 일반적인 지식 • Getting Started with AWS Storage 이수   과정 개요 섹션 1: 개요 • 강의 1: 과정 학습 방법 • 강의 2: 과정 개요 섹션 2: FSx for ONTAP 소개 • 강의 3: FSx for ONTAP 소개 • 강의 4: NetApp ONTAP 개요 • 강의 5: FSx for ONTAP 개요 • 강의 6: FSx for ONTAP: 사용 사례 및 고객 섹션 3: FSx for ONTAP 계획 및 배포 • 강의 7: 계획 및 배포 소개 • 강의 8: FSx for ONTAP 배포 계획 • 강의 9: FSx for ONTAP 배포 섹션 4: FSX for ONTAP 배포 후 고려 사항 • 강의 10: 배포 후 고려 사항 소개 • 강의 11: FSx for ONTAP 요금 • 강의 12: 데이터 마이그레이션, 관리 및 모니터링 섹션 5: 리소스 및 피드백 • 강의 13: 추가 리소스 • 강의 14: 피드백 ", + "long_description": "", + "duration": "001:15:00", + "externalid": "E-07YNOE", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11596, + "title": "Korean", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11632, + "title": "Storage", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11821, + "title": "01.01.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605315, + "learningobject_type": "Content", + "name": "Fondamentaux du Cloud AWS (Français) | Introduction to Cloud Essentials (French)", + "display_name": "Fondamentaux du Cloud AWS (Français) | Introduction to Cloud Essentials (French)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=SG4o59pJrMM_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T14:06:29.833", + "updated_date": "2024-01-31T17:00:21.687", + "short_description": "Explorez les fondamentaux du cloud AWS en découvrant son infrastructure et ses services clés. 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Si vous ne l'avez pas encore fait, commencez par le premier cours de la série intitulé Présentation de l'IA générative – l'Art du possible. Dans ce cours, vous découvrirez les fondements techniques et la terminologie clé de l'intelligence artificielle (IA) générative. Vous explorerez les étapes de la planification d'un projet d'IA générative et évaluerez les risques et les avantages de l'utilisation de l'IA générative. Niveau du cours : Débutant Durée : 1 heure Activités Ce cours comprend des instructions textuelles et des graphiques illustratifs. Objectifs du cours Dans ce cours, vous apprendrez à : Discuter des fondements techniques et de la terminologie clé de l'IA générative. Expliquer les étapes de la planification d'un projet d'IA générative. Identifier certains des risques et des mesures d'atténuation lors de l'utilisation de l'IA générative. Public visé Ce cours s'adresse aux personnes suivantes : Décideurs commerciaux et décideurs techniques Prérequis Ce cours est le deuxième cours de la série Notions essentielles de l'IA générative à l'intention des décideurs commerciaux et techniques. Il est recommandé d'avoir terminé le premier cours de la série intitulé Présentation de l'IA générative – l'Art du possible, avant de suivre ce cours. 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En este curso introductorio, aprenderá sobre los beneficios, las funciones, los casos prácticos típicos, los conceptos técnicos y los costos de Amazon Transcribe. Revisará una arquitectura para una solución de búsqueda mediante Amazon Transcribe, la cual podrá adaptar a su caso práctico. A través de un tutorial guiado que consta de un video narrado, instrucciones paso a paso y una transcripción, podrá probar la transcripción en tiempo real y por lotes en su propia cuenta de Amazon Web Services (AWS). Nivel del curso: básico. •\t Duración: 1,5 horas Actividades: Este curso incluye presentaciones, gráficos y un tutorial paso a paso para seguirlo. Objetivos del curso: En este curso, hará lo siguiente: •\tAprender el funcionamiento de Amazon Transcribe. •\tFamiliarizarse con los conceptos básicos de Amazon Transcribe. •\tReconocer los beneficios de Amazon Transcribe. •\tEnumerar los casos prácticos típicos de Amazon Transcribe. •\tDescribir las arquitecturas típicas asociadas a una solución de Amazon Transcribe. •\tEspecificar qué conllevaría implementar Amazon Transcribe en una situación del mundo real. •\tComprender la estructura de costos de Amazon Transcribe. •\tImplementar una demostración de Amazon Transcribe en la Consola de administración de AWS. Requisitos previos Recomendamos que los asistentes a este curso hayan completado las siguientes formaciones: •\tFundamentos técnicos de AWS   Esquema del curso •\tIntroducción a Amazon Transcribe •\tArquitectura y casos prácticos •\t¿Cómo se crea una transcripción en tiempo real en la Consola de administración de AWS? •\t¿Cómo se crea una transcripción por lotes en la Consola de administración de AWS? •\t¿Cómo se crea una transcripción usando vocabulario personalizado ", + "long_description": "", + "duration": "001:30:00", + "externalid": "E-VP53O9", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11587, + "title": "Spanish", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605226, + "learningobject_type": "Content", + "name": "Planificación de un proyecto de IA Generativa (Español LATAM) | Planning a Generative AI Project (LATAM Spanish)", + "display_name": "Planificación de un proyecto de IA Generativa (Español LATAM) | Planning a Generative AI Project (LATAM Spanish)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=4hl04GaRJac_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T12:10:40.423", + "updated_date": "2024-01-31T12:33:09.207", + "short_description": "Descripción del curso Planificación de un proyecto de IA Generativa es el segundo curso de una serie de tres partes llamada Fundamentos de la IA generativa para los responsables de decisiones técnicas y comerciales. Si aún no lo completó, comience con el primer curso de la serie, Introducción a la IA generativa - El Arte de lo posible. En este curso, aprenderá sobre los fundamentos técnicos y la terminología clave relacionados con la inteligencia artificial (IA) generativa. Explorará los pasos para planificar un proyecto de IA generativa, y evaluar los riesgos y beneficios de usar la IA generativa. Nivel del curso: básico. •\tDuración: 1 hora. Actividades Este curso incluye instrucciones de texto y gráficos ilustrativos. Objetivos del curso En este curso, aprenderá a hacer lo siguiente: •\tAnalizar los fundamentos técnicos y la terminología clave de la IA generativa. •\tExplicar los pasos para planificar un proyecto de IA generativa. •\tIdentificar algunos de los riesgos y las mitigaciones al usar la IA generativa. Destinatarios previstos Este curso está dirigido a los siguientes destinatarios: •\tResponsables de decisiones técnicas y comerciales. Requisitos previos Este es el segundo curso de la serie Fundamentos de la IA generativa para los responsables de decisiones técnicas y comerciales. Le recomendamos que complete el primer curso de la serie, Introducción a la IA generativa - El arte de lo posible, antes de tomar este curso. Esquema del curso Sección 1: Fundamentos técnicos y terminología de la IA generativa. •\tFundamentos de la IA generativa. •\tAplicación práctica de la IA generativa. •\tContexto de la IA generativa. Sección 2: Planificación de un proyecto de IA Generativa. •\tPasos para planificar un proyecto de IA generativa. Sección 3: Evaluación del uso de la IA generativa en su proyecto. •\tRiesgos y mitigación. •\tConclusión. 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Con la ayuda de un ejemplo de generación de contenido, ilustramos el arte de lo posible. Al final del curso, los alumnos deberán poder describir los aspectos básicos de la IA generativa, sus riesgos y beneficios. También deberán poder expresar cómo se puede usar la generación de contenido en sus empresas. • Nivel del curso: básico. • Duración: 1 hora. Actividades Este curso incluye elementos interactivos, videos, instrucciones de texto y gráficos ilustrativos. Objetivos del curso En este curso, aprenderá a realizar lo siguiente: • Describir la IA generativa y cómo se alinea con el machine learning. • Definir la importancia de la IA generativa y explicar sus posibles riesgos y beneficios. • Identificar el valor empresarial de los casos prácticos de IA generativa. A quién se dirige Este curso está dirigido a los siguientes destinatarios: • Responsables de la toma de decisiones empresariales. Requisitos previos Recomendamos que los asistentes a este curso cuenten con esta experiencia: • ninguna, ya que se trata del primer curso de una serie de formaciones digitales sobre IA generativa para responsables de la toma de decisiones empresariales y técnicas. Esquema del curso Sección 1: Introducción a la IA generativa • Información general de ML • Aspectos básicos de la IA generativa • Casos prácticos de IA generativa Sección 2: La importancia de la IA generativa • La IA generativa en la práctica • Riesgos y beneficios • Conclusión", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-0YXWOX", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11587, + "title": "Spanish", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605223, + "learningobject_type": "Content", + "name": "Desarrollo de una organización preparada para la IA generativa (Español LATAM) | Building a Generative AI-Ready Organization (LATAM Spanish)", + "display_name": "Desarrollo de una organización preparada para la IA generativa (Español LATAM) | Building a Generative AI-Ready Organization (LATAM Spanish)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=N3DpmCKi53Y_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T11:54:13.95", + "updated_date": "2024-01-31T11:54:13.95", + "short_description": "Descripción del curso Creación de una organización preparada para la IA generativa es el último curso de la serie de tres partes Fundamentos de la IA generativa para los responsables de la toma de decisiones empresariales y técnicas. Si aún no lo has hecho, te recomendamos que empieces por el primer curso de la serie, Introducción a la IA generativa: el arte de lo posible. Al final del curso, deberías ser capaz de describir las consideraciones clave que se deben tener en cuenta a la hora de crear una organización preparada para la IA generativa. Se te ofrecerán las herramientas y el conocimiento necesario para mejorar las habilidades de los empleados e inculcar el pensamiento de la IA generativa en el lugar de trabajo. •\tNivel del curso: principiante •\tDuración: 1 hora Actividades En este curso se incluyen elementos interactivos e instrucciones de texto. Objetivos del curso En este curso, aprenderás a hacer lo siguiente: •\tDescribir los conceptos y las estrategias clave que necesitas para saber cómo migrar la IA generativa a tu organización. •\tDescribir cómo crear una organización preparada para la IA generativa. •\tDescribir cómo plantear debates con los empleados y superar los desafíos a los que te puedas enfrentar. •\tDescribir la importancia de la gobernanza y la estructura de la organización a la hora de implementar correctamente la IA generativa. Público objetivo Este curso está dirigido al siguiente público: •\tResponsables de la toma de decisiones empresariales   Requisitos previos Este curso es el último de la serie Fundamentos de la IA generativa para responsables de la toma de decisiones empresariales y técnicas. 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AI 的技術基礎知識和詞彙 •\t生成式 AI 基礎知識 •\t生成式 AI 的實務應用 •\t生成式 AI 內容 第 2 節:規劃生成式 AI 專案 •\t規劃生成式 AI 專案的步驟 第 3 節:評估您的專案如何使用生成式 AI •\t風險和緩解措施 •\t結論 ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VZO9EQ", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11600, + "title": "Traditional Chinese (TW)", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11790, + "title": "Decision Maker", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + 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Con la ayuda de un ejemplo de generación de contenidos, ilustraremos el arte de lo posible. Al final del curso, los estudiantes serán capaces de describir los aspectos básicos de la inteligencia artificial generativa, así como sus riesgos y beneficios. También podrán explicar cómo usar la generación de contenidos en su empresa. Nivel del curso: principiante Duración: 1 hora Actividades Este curso contiene elementos interactivos, vídeos, instrucciones de texto y gráficos ilustrativos. Objetivos del curso En este curso, aprenderás a hacer lo siguiente: Describir la inteligencia artificial generativa y cómo se adapta con el machine learning. Definir la importancia de la inteligencia artificial generativa y explicar sus posibles riesgos y beneficios. Determinar el valor empresarial de los casos prácticos de inteligencia artificial generativa. Público objetivo Este curso está dirigido al siguiente público: Responsables de la toma de decisiones empresariales. Requisitos previos Aconsejamos que cada participante del curso cuente con lo siguiente: Nada, ya que este es el primer curso de una serie de formaciones digitales sobre inteligencia artificial generativa para responsables de la toma de decisiones empresariales y técnicas. Esquema del curso Sección 1: Introducción a la inteligencia artificial generativa Información general sobre el machine learning Conceptos básicos de la inteligencia artificial generativa Casos prácticos de inteligencia artificial generativa Sección 2: Importancia de la inteligencia artificial generativa La inteligencia artificial generativa en la práctica Riesgos y beneficios Conclusión", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-07YXLO", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11587, + "title": "Spanish", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 605156, + "learningobject_type": "Content", + "name": "planificacion-de-un-proyecto-de-ia-generativa-xapi-4bWvGh3r", + "display_name": "Planificación de un proyecto de IA generativa (Español de España) | Planning a Generative AI Project (Spanish from Spain)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=CTigqqSKNcY_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-31T08:09:12.173", + "updated_date": "2024-01-31T08:09:12.173", + "short_description": "DesPlanificación de un proyecto de IA generativa es el segundo curso de la serie de tres partes Fundamentos de la IA generativa para los responsables de la toma de decisiones empresariales y técnicas. Si aún no lo has hecho, realiza el primer curso de la serie, Introducción a la IA generativa: el arte de lo posible, antes de empezar este. En este curso, conocerás los fundamentos técnicos y la terminología clave relacionados con la inteligencia artificial (IA) generativa. Explorarás los pasos de planificación de un proyecto de IA generativa y evaluarás los riesgos y beneficios del uso de la IA generativa. Nivel del curso: Principiante Duración: 1 hora Actividades Este curso contiene instrucciones de texto y gráficos ilustrativos. Objetivos del curso En este curso, aprenderás a hacer lo siguiente: Dominar los fundamentos técnicos y la terminología clave relacionados con la IA generativa. Explicar los pasos de planificación de un proyecto de IA generativa. Identificar varios riesgos del uso de IA generativa y cómo mitigarlos. Público objetivo Este curso está dirigido al siguiente público: Responsables de la toma de decisiones empresariales y técnicas Requisitos previos Este curso es el segundo de la serie Fundamentos de la IA generativa para los responsables de la toma de decisiones empresariales y técnicas. Se recomienda realizar el primer curso de la serie, Introducción a la IA generativa: el arte de lo posible, antes de empezar este curso. 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Art of the Possible부터 시작하십시오. 이 과정에서는 생성형 인공 지능(AI)과 관련된 기술적 기본 사항 및 핵심 용어를 자세히 알아보겠습니다. 생성형 AI를 계획하는 단계를 살펴보고, 생성형 AI를 사용하는 위험과 이점을 평가하겠습니다. • 과정 수준: 초보자 • 소요 시간: 1시간 활동 이 과정에는 텍스트 지침 및 예시 그래픽이 포함되어 있습니다. 과정 목표 이 교육 과정에서 학습할 내용은 다음과 같습니다. • 생성형 AI의 기술 기초 및 용어를 논의합니다. • 생성형 AI 프로젝트를 계획하는 단계를 설명합니다. • 생성형 AI 사용 시의 위험과 완화책을 파악합니다. 수강 대상 이 과정의 수강 대상은 다음과 같습니다. • 비즈니스 및 기술 의사 결정권자 수강 전 권장 사항 이 과정은 비즈니스 및 기술 의사 결정권자를 위한 생성형 AI Essentials 시리즈의 두 번째 과정입니다. 이 과정을 수강하기 전에 시리즈의 첫째 과정인 Introduction to Generative AI - Art of the Possible을 완료할 것을 권장합니다. 과정 개요 섹션 1: 생성형 AI와 관련된 기술 기초 및 용어 • 생성형 AI 기본 사항 • 생성형 AI의 실제 활용 방법 • 생성형 AI 컨텍스트 섹션 2: 생성형 AI 프로젝트 계획 • 생성형 AI 프로젝트 계획의 단계 섹션 3: 프로젝트에 대한 생성형 AI 사용 평가 • 위험 및 완화 • 결론 ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VX2XJP", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11596, + "title": "Korean", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11790, + "title": "Decision Maker", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 604928, + "learningobject_type": "Content", + "name": "Introduction to AWS Application Migration Service", + "display_name": "Introduction to AWS Application Migration Service", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=KfApTccJ4Wk_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-30T10:12:48.357", + "updated_date": "2024-02-28T13:32:41.103", + "short_description": "", + "long_description": "", + "duration": "002:00:00", + "externalid": "E-0EKXX0", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11625, + "title": "Migration & Transfer", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11800, + "title": "Project/Program/Delivery Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11829, + "title": "02.00.01", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 604927, + "learningobject_type": "Content", + "name": "Differences Between Security Groups and NACLs", + "display_name": "Differences Between Security Groups and NACLs", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=N72hFug1EVY_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-30T10:06:51.397", + "updated_date": "2024-01-30T11:58:29.073", + "short_description": " This is an introductory course on the differences between security groups and NACLs, or Network Access Control Lists. 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À l'aide d'un exemple de génération de contenu, nous illustrons l'art du possible. À la fin du cours, les apprenants doivent être en mesure de décrire les bases de l'IA générative, ses risques et ses avantages. Ils doivent également être en mesure d'expliquer comment la génération de contenu peut être utilisée dans leur entreprise. Niveau du cours : Débutant Durée : 1 heure Remarque : ce cours comporte des transcriptions ou des sous-titres localisés. La narration est en anglais. Pour afficher les sous-titres, cliquez sur le bouton CC dans le coin inférieur droit du joueur. Activités Ce cours comprend des éléments interactifs, des vidéos, des instructions textuelles et des graphiques illustratifs. Objectifs du cours Dans ce cours, vous apprendrez à : Décrire l'IA générative et comment elle s'aligne sur le machine learning. Définir l'importance de l'IA générative et expliquer ses risques et avantages potentiels. Identifier la valeur métier des cas d'utilisation de l'IA générative. Public visé Ce cours s'adresse aux personnes suivantes : Décideurs d'entreprise. Prérequis Pour assister à ce cours, il est recommandé d'avoir les connaissances suivantes : Aucune, car il s'agit du premier cours d'une série de formations numériques sur l'IA générative destinées aux décideurs commerciaux et techniques. Déroulement du cours Section 1 : Présentation de l'IA générative Présentation du ML Fondamentaux de l'IA générative Cas d'utilisation de l'IA générative Section 2 : Importance de l'IA générative L'IA générative en pratique Risques et avantages Conclusion ", + "long_description": "", + "duration": "000:01:00", + "externalid": "E-1GLK56", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11602, + "title": "French", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 604746, + "learningobject_type": "Content", + "name": "Questions de révision pour la préparation de l'Examen AWS Certified SysOps Administrator – Associate (Français) | Exam preparation review questions for AWS Certified SysOps Administrator – Associate (French)", + "display_name": "Questions de révision pour la préparation de l'Examen AWS Certified SysOps Administrator – Associate (Français) | Exam preparation review questions for AWS Certified SysOps Administrator – Associate (French)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=rFc6NP5vZfs_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-29T18:07:54.05", + "updated_date": "2024-01-29T18:23:13.65", + "short_description": "Préparez-vous pour l'examen AWS Certified SysOps Administrator – Associate en révisant des questions types des différents domaines de l'examen. Découvrez aussi des stratégies et astuces pour analyser plus efficacement les énoncés et options de réponse. Le but de ce cours est de se préparer à répondre aux questions de l'examen en étudiant les énoncés et les options de réponse. Ce cours est destiné aux Personnes préparant l'examen AWS Certified SysOps Administrator – Associate Administrateurs système Prérequis: Plusieurs mois d'expérience des principaux services AWS dans le domaine de l'administration système. Passage en revue de questions afin de préparer l'examen AWS Certified SysOps Administrator – Associate. 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Using CloudTrail Lake, you can aggregate, immutably store, and query Amazon Web Services (AWS) activities of management and data events recorded by AWS CloudTrail. You can use these events for auditing, security investigations, and operational troubleshooting purposes. CloudTrail Lake simplifies analysis workflows by integrating collection, storage, preparation, and optimization for analysis and querying within the same product. In this course, you will also review the basics of CloudTrail Lake and the business and technical challenges it can solve. Course level: Fundamental Duration: 60 minutes Activities This course includes presentations, demonstrations, and knowledge checks. Course objectives In this course, you will learn to: Learn how CloudTrail Lake works. Recognize the benefits of CloudTrail Lake. Explain the cost structure of CloudTrail Lake. Familiarize yourself with the technical concepts of CloudTrail Lake. List typical use cases for CloudTrail Lake. Specify what it would take to implement CloudTrail Lake in a real-world scenario. Explore how to use CloudTrail Lake on the AWS Management Console and use the AWS Command Line Interface (AWS CLI). Intended audience This course is intended for: AWS customers, Partners, and internal resources that want to understand how CloudTrail Lake can help them operate AWS solutions at scale. Prerequisites We recommend that attendees of this course have: A basic understanding of AWS offerings and the challenges that organizations face when operating Completed the Getting Started with AWS CloudTrail course Course outline Section 1: For Students Lesson 1: How to Use This Course Section 2: Introduction Lesson 2: Introduction to CloudTrail Lake Lesson 3: Architecture and Use Cases Section 3: Using AWS CloudTrail Lesson 4: How Do I Create an Event Data Store for CloudTrail Lake Events? Lesson 5: How Do I Use CloudTrail Lake to Configure Items? Lesson 6: How Do I Create an Event Data Store for Events Outside of AWS? Lesson 7 How Do I Query an Event Data Store? Lesson 8: How Do I Create and Delete an Event Data Store Using AWS CLI? Lesson 9: How Do I Delete Resources? 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Dans ce cours Guide de démarrage, vous allez découvrir les avantages, les fonctions, les cas d'utilisation typiques, les concepts techniques et les coûts d'Amazon Transcribe. Vous allez examiner une architecture pour une solution de transcription à l'aide d'Amazon Transcribe que vous pourrez ensuite adapter à votre cas d'utilisation. Par le biais d'un tutoriel guidé incluant une vidéo commentée, des instructions pas à pas et des transcriptions, vous testerez également la transcription en temps réel et par lots dans votre propre compte Amazon Web Services (AWS). Niveau du cours : notions fondamentales Durée : 1 heure et demie Remarque : ce cours comporte des transcriptions ou des sous-titres localisés. La narration est en anglais. Pour afficher les sous-titres, cliquez sur le bouton CC dans le coin inférieur droit du joueur. Activités Ce cours inclut des présentations, des graphiques et un tutoriel pas à pas à suivre. Objectifs du cours Ce cours vous permet de : Comprendre comment fonctionne Amazon Transcribe. Vous familiariser avec les concepts de base d'Amazon Transcribe. Mesurer les avantages d'Amazon Transcribe. Répertorier les cas d'utilisation types d'Amazon Transcribe. Décrire les architectures types associées à une solution Amazon Transcribe. Indiquer ce qui serait nécessaire pour mettre en œuvre Amazon Transcribe dans un scénario réel. Comprendre la structure des coûts d'Amazon Transcribe. Mettre en œuvre une démonstration d'Amazon Transcribe dans la console de gestion AWS. Prérequis Pour assister à ce cours, il est recommandé d'avoir participé aux formations suivantes : Principes techniques essentiels d'AWS Déroulement du cours Introduction à Amazon Transcribe Architecture et cas d'utilisation Comment créer une transcription en temps réel dans la console de gestion AWS ? Comment créer une transcription par lots dans la console de gestion AWS ? Comment créer une transcription à l'aide d'un vocabulaire personnalisé ? 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Se non lo hai già fatto, inizia dal primo corso della serie: Introduzione all'IA generativa: l'arte del possibile. In questo corso, apprenderai le basi tecniche e la terminologia chiave collegati all'intelligenza artificiale (IA) generativa. Esplorerai anche i passaggi per pianificare un progetto di IA generativa e per valutare i rischi e i vantaggi dell'utilizzo dell'IA generativa. Livello: Principiante Durata: 1 ora Attività Il corso include istruzioni testuali e grafici illustrativi. Obiettivi del corso In questo corso, imparerai a: Discutere le basi tecniche e la terminologia chiave per l'IA generativa. Spiegare i passaggi della pianificazione di un progetto di IA generativa. Identificare alcuni dei rischi e delle strategie di mitigazione correlati all'utilizzo dell'IA generativa. Destinatari principali Questo corso è destinato a: Responsabili delle decisioni tecniche e aziendali Prerequisiti Questo corso è il secondo della serie denominata: Elementi essenziali di IA generativa per i responsabili delle decisioni tecniche e aziendali. Prima di iniziare questo corso, ti consigliamo di completare il primo della serie, dal titolo: Introduzione all'IA generativa: l'arte del possibile. Programma del corso Sezione 1: Le basi tecniche e la terminologia dell'IA generativa Nozioni fondamentali di IA generativa L'IA generativa in pratica Il contesto dell'IA generativa Sezione 2: Pianificare un progetto di IA generativa I passaggi della pianificazione di un progetto di IA generativa. Sezione 3: Valutare l'uso dell'IA generativa per il tuo progetto Rischi e mitigazione Conclusione ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VMWYWR", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11597, + "title": "Italian", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11788, + "title": "Business User", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11790, + "title": "Decision Maker", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 604394, + "learningobject_type": "Content", + "name": "Introduzione all'AI generativa - L'arte del possibile (Italiano) | Introduction to Generative AI - Art of the Possible (Italian)", + "display_name": "Introduzione all'AI generativa - L'arte del possibile (Italiano) | Introduction to Generative AI - Art of the Possible (Italian)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=r3rTo320sZU_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-26T12:57:54.633", + "updated_date": "2024-01-31T17:04:58.96", + "short_description": "Il corso “Introduzione all'AI generativa - L'arte del possibile” fornisce un'introduzione all'AI, i casi d'uso, i rischi e i vantaggi. Con l'aiuto di un esempio di generazione di contenuti, illustreremo l'arte del possibile. Alla fine del corso sarai in grado di descrivere le basi dell'AI generativa, i suoi rischi e i suoi vantaggi. Potrai inoltre spiegare in che modo la generazione dei contenuti può essere utilizzata nella tua azienda. Livello: Principiante Durata: 1 ora Nota: questo corso fornisce trascrizioni/sottotitoli localizzati. La narrazione è in inglese. Per visualizzare i sottotitoli, fare clic sul pulsante CC nell'angolo in basso a destra del lettore. Attività Il corso include elementi interattivi, video, istruzioni testuali e grafica illustrativa. Obiettivi del corso In questo corso, scoprirai come: Descrivere l'AI generativa e il modo in cui si allinea al machine learning. Definire l'importanza dell'AI generativa e spiegarne i potenziali rischi e vantaggi. Identificare il valore di business dai casi d'uso dell'AI generativa. Destinatari principali Questo corso è destinato a: Responsabili delle decisioni aziendali Prerequisiti È consigliabile che i partecipanti a questo corso abbiano: Nessun prerequisito è necessario, poiché questo è il primo corso di una serie di formazioni digitali sull'AI generativa per i responsabili delle decisioni aziendali e tecniche. Descrizione del corso Sezione 1: Introduzione all'AI generativa Panoramica del machine learning Nozioni di base sull'AI generativa Casi d'uso dell'AI generativa Sezione 2: Importanza dell'AI generativa L'AI generativa in pratica Rischi e vantaggi Conclusioni ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-0EO48X", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11597, + "title": "Italian", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11622, + "title": "Machine Learning", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11797, + "title": "Business Development/Analyst Manager", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11814, + "title": "01.00.00", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "HTML" + }, + { + "learningobject_id": 604393, + "learningobject_type": "Content", + "name": "Fundamentals of Analytics on AWS - Part 2", + "display_name": "Fundamentals of Analytics on AWS - Part 2", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=oDo9WH+lWIY_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-26T12:18:28.707", + "updated_date": "2024-08-23T11:29:53.01", + "short_description": "This course is the second of two offerings designed to introduce learners to the current market trends in analytics. Building upon the concepts introduced in Part 1, this course introduces learners to an overview of data lakes, data warehouses, and modern data architectures on AWS. You will learn about which AWS services can be used to build a data warehouse, data lakes, and modern data architectures on AWS. You will also see common modern data architecture use cases and a reference architecture. Course level: Fundamental Duration: 1 hour 30 minutes Activities This course includes: lessons, videos, scenarios, and knowledge check questions. Course objectives In this course, you will learn to: Explain data lakes, benefits, and functions. Describe the basic data lake architecture, the AWS services used to build a data lake, and challenges with building a data lake. Explain AWS Lake Formation architecture, features and benefits. Explain data warehousing, challenges with an on-premises data warehouse, and available AWS solutions. Explain modern data architecture pillars and modern data architecture concepts. Explain data movement scenarios. Describe the data mesh architecture pattern, benefits, and available AWS solutions. Identify the available AWS services for building modern data architectures. Identify the components of modern data architecture. Describe common use cases for modern data architecture. 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In Part 1, you will learn fundamental concepts such as types of analytics, the 5 V’s of big data, and the challenges associated with processing high volumes of data. This course also maps the 5 V’s of big data to AWS services for analytics and discusses how AWS provides the most comprehensive services on the market. Following completion of this course, learners are encouraged to continue their journey with Fundamentals of Analytics on AWS – Part 2 . Course level: Fundamental Duration: 2 hours Activities This course includes: lessons, videos, scenarios, and knowledge check questions. Course objectives In this course, you will learn to: Explain data analytics, data analysis, analytics types, techniques, and analytics challenges. Define machine learning (ML), ML on AWS, and different levels of AWS for ML services. Define the 5 V’s of big data. Explain common ways to store data, challenges, characteristics of source data storage systems, and available AWS solutions. Explain data transportation, options for different environments, and available AWS solutions. Define data processing, options for each type of processing, and available AWS solutions. Identify different types of data structures, types of data storage, and available AWS solutions. Explain where ETL and ELT fits in multiple places of the analytics pipeline, the elements of an ETL and ELT process, and available AWS solutions. Explain the use of business intelligence tools to gain value from analytics, and available AWS solutions. Intended audience This course is intended for: Cloud architects Data engineers Data analysts Data scientists Developers Prerequisites We recommend that attendees of this course have: Reviewed AWS Cloud Practitioner Essentials or equivalent Course outline Section 1: Introduction Lesson 1: How to Use This Course Lesson 2: Course Overview Section 2: Analytics Concepts Lesson 3: Analytics Lesson 4: Machine Learning Lesson 5: 5 Vs of Big Data Lesson 6: Volume Lesson 7: Variety Lesson 8: Velocity Lesson 9: Veracity Lesson 10: Value Section 3: AWS Services for Analytics Lesson 11: AWS Services for Volume Lesson 12: AWS Services for Variety Lesson 13: AWS Services for Velocity Lesson 14: AWS Services for Veracity Lesson 15: AWS Services for Value Section 4: Conclusion Lesson 16: Quiz Lesson 17: Course Summary Lesson 18: Appendix of Resources Lesson 19: Feedback", + "long_description": "", + "duration": "002:00:00", + "externalid": "E-0YXJ4Y", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11586, + "title": "English", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + "tagid": 11614, + "title": "Data Analytics", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11784, + "title": "Roles", + "assigned": true, + "tags": [ + { + "tagid": 11787, + "title": "Architect", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11791, + "title": "Developer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11798, + "title": "Data Engineer", + "assigned": true, + "subtags": [] + }, + { + "tagid": 11799, + "title": "Data Scientist", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11785, + "title": "Version", + "assigned": true, + "tags": [ + { + "tagid": 11822, + "title": "01.01.01", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11786, + "title": "Skill Level", + "assigned": true, + "tags": [ + { + "tagid": 11807, + "title": "Fundamental", + "assigned": true, + "subtags": [] + } + ] + } + ], + "content_type": "Scorm" + }, + { + "learningobject_id": 604383, + "learningobject_type": "Content", + "name": "AWS Mainframe Modernization Replatform with Micro Focus Getting Started", + "display_name": "AWS Mainframe Modernization Replatform with Micro Focus Getting Started", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=vuIMz/FggOo_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2024-01-26T12:08:04.43", + "updated_date": "2024-01-31T17:00:54.92", + "short_description": "AWS Mainframe Modernization Replatform with Micro Focus transforms legacy mainframe business applications. 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ストレージ・クラウドオペレーション管理者 前提条件 このコースを受講するにあたり、次の前提条件を満たしておくことをお勧めします。 • AWS とクラウドコンピューティングに関する一般的な知識 • Getting Started with AWS Storage」を修了する   コースの概要 セクション 1: 概要 • レッスン 1: このコースの受講方法 • レッスン 2: コースの概要 セクション 2: FSx for ONTAP 入門 • レッスン 3: FSx for ONTAP 入門 • レッスン 4: NetApp ONTAP の概要 • レッスン 5: FSx for ONTAP の概要 • レッスン 6: FSx for ONTAP: ユースケースとお客様 セクション 3: FSx for ONTAP の計画とデプロイ • レッスン 7: 計画とデプロイの概要 • レッスン 8: FSx for ONTAP デプロイの計画 • レッスン 9: FSx for ONTAP のデプロイ セクション 4: FSX for ONTAP デプロイ後の考慮事項 • レッスン 10: デプロイ後の考慮事項の概要 • レッスン 11: FSx for ONTAP の料金 • レッスン 12: データの移行、管理、モニタリング セクション 5: リソースとフィードバック • レッスン 13 : その他のリソース • レッスン 14 : フィードバック ", + "long_description": "", + "duration": "001:15:00", + "externalid": "E-1GLKXZ", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11598, + "title": "Japanese", + "assigned": true, + "subtags": [] + } + ] + }, + { + "categoryid": 11604, + "title": "Domain", + "assigned": true, + "tags": [ + { + 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AI アプリケーションの構築とスケールを素早く行うための基盤モデル (FM) と一連のツールを提供する、フルマネージドサービスです。このサービスは、プライバシーとセキュリティを確実にする役にも立ちます。この Getting Started コースでは、Amazon Bedrock の利点、特徴、一般的なユースケース、技術的概念、コストについて学習します。 また、チャットボットソリューションを構築するための他の Amazon Web Services (AWS) 製品と合わせて、Amazon Bedrock を使用したアーキテクチャも確認します。ナレーション付き動画、ステップバイステップの手順、トランスクリプトで構成されるガイド付きチュートリアルを通じて、Amazon Web Services (AWS) アカウントでこのサービスを試すことができます。 • コースレベル : 基礎 • 所要時間 : 1 時間 アクティビティ : このコースには、プレゼンテーション、グラフィック、ステップバイステップのチュートリアルが含まれています。 コースの目標 : このコースでは、以下の内容を学習します。 • Amazon Bedrock の仕組みを説明する。 • Amazon Bedrock の基本的な概念を十分に理解する。 • Amazon Bedrock の利点を確認する。 • Amazon Bedrock の一般的なユースケースを挙げる。 • Amazon Bedrock ソリューションに関連する一般的なアーキテクチャについて説明する。 • Amazon Bedrock の料金体系を理解する。 • AWS マネジメントコンソールで Amazon Bedrock のデモを実装する。 前提条件 このコースを受講するにあたり、以下のトレーニングを修了しておくことをお勧めします。 • AWS Technical Essentials (Japanese) コースの概要 • Amazon Bedrock 入門 • アーキテクチャとユースケース • Amazon Bedrock の使い方 • その他のリソース ", + "long_description": "", + "duration": "001:00:00", + "externalid": "E-VR6O72", + 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アカウントでリアルタイムのバッチトランスクリプションも体験します。 • コースレベル : 基礎 • 所要時間 : 1.5 時間 アクティビティ : このコースには、プレゼンテーション、グラフィック、ステップバイステップのチュートリアルが含まれています。 コースの目標 : このコースでは、以下の内容を学習します。 • Amazon Transcribe の仕組みを学ぶ。 • Amazon Transcribe の基本的な概念を十分に理解する。 • Amazon Transcribe の利点を確認する。 • Amazon Transcribe の一般的なユースケースを挙げる。 • Amazon Transcribe ソリューションに関連する一般的なアーキテクチャについて 説明する。 • Amazon Transcribe を現実のシナリオで実装するために何が必要かを特定する。 • Amazon Transcribe の料金体系を理解する。 • AWS マネジメントコンソールで Amazon Transcribe のデモンストレーション を行う。 前提条件 このコースを受講するにあたり、以下のトレーニングを修了しておくことをお勧めします。 • AWS Technical Essentials (Japanese) コースの概要 • Amazon Transcribe の基礎 • アーキテクチャとユースケース • AWS マネジメントコンソールでリアルタイムにトランスクリプトを作成する方法 • AWS マネジメントコンソールでバッチ処理によるトランスクリプトを作成する方法 • カスタム語彙を使ってトランスクリプトを作成する方法 ", + "long_description": "", + "duration": "001:30:00", + "externalid": "E-0EOQJG", + "category": [ + { + "categoryid": 11585, + "title": "Language", + "assigned": true, + "tags": [ + { + "tagid": 11598, + "title": "Japanese", + "assigned": true, + "subtags": [] + } + ] + }, + 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Essentials (Indonesian) (Sub)", + "thumbnail_url": "", + "launch_url": "https://cloud.contentraven.com/awspartners/kinshasadigital/DirectLaunch?cid=eI1gE+KsnwI_&io=wOoCJPyzt2Q_", + "public_embed_url": null, + "created_date": "2023-12-28T15:36:03.61", + "updated_date": "2023-12-28T15:36:03.61", + "short_description": "Deskripsi kursus AWS Technical Essentials memperkenalkan layanan dan solusi umum AWS kepada Anda. 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Tujuan kursus Dalam kursus ini, Anda akan mempelajari cara melakukan hal-hal berikut ini: • Menjelaskan istilah dan konsep terkait layanan AWS. • Menjelajahi AWS Management Console. • Menjelaskan konsep utama langkah-langkah keamanan AWS dan AWS Identity and Access Management (IAM). • Membedakan antara beberapa layanan komputasi AWS, termasuk Amazon Elastic Compute Cloud (Amazon EC2) dan AWS Lambda. • Membedakan antara beberapa layanan kontainer AWS, termasuk Amazon Elastic Container Service (Amazon ECS) dan Amazon Elastic Kubernetes Services (Amazon EKS). • Menjelaskan penawaran basis data dan penyimpanan AWS, termasuk Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, dan Amazon Simple Storage Service (Amazon S3). • Menjelajahi layanan jaringan AWS. • Mengakses dan mengonfigurasikan fitur monitoring Amazon CloudWatch. Sasaran peserta Kursus ini ditujukan untuk peran berikut: • Individu yang bertanggung jawab untuk mempromosikan manfaat teknis layanan AWS kepada pelanggan • Individu yang tertarik mempelajari cara mulai menggunakan AWS • Administrator SysOps • Solutions architect • Developer Prasyarat Peserta di kursus ini disarankan memiliki latar belakang berikut: • Pengalaman IT • Pengetahuan dasar tentang arsitektur dan komponen pusat data umum (server, jaringan, basis data, aplikasi, dan sebagainya) • Pengalaman sebelumnya di bidang komputasi cloud atau AWS tidak diwajibkan. 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Amazon Bedrock 是一項全受管服務,提供領先的基礎模型 (FM) 以及一組工具,能快速建置與擴展生成式 AI 應用程式。這項服務也有助於確保隱私與安全性。在本「入門指南」課程中,您將學習 Amazon Bedrock 的優勢、功能、典型使用案例、技術概念及成本。

您還將回顧使用 Amazon Bedrock 與其他 Amazon Web Services (AWS) 產品建構 Chatbot 解決方案的架構。透過包含解說影片、逐步指引和文字稿等的指導式教學課程,您將在自己的 AWS 帳戶中試用 Amazon Bedrock。

活動:

本節課程包含簡報、圖表與逐步教學供您遵循。

課程目標:

在本課程中,您將學習:

先決條件

我們建議參加此課程的人員已完成下列訓練內容:

課程大綱

 

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Descripción del curso

Este curso está dirigido a personas que quieren obtener conocimientos generales de la nube de Amazon Web Services (AWS), independientemente de los roles técnicos específicos. Aprenderás sobre los conceptos de la nube de AWS, sus servicios, la seguridad, la arquitectura, los precios y los servicios de asistencia de AWS para desarrollar tus conocimientos sobre la nube de AWS. Este curso también sirve como preparación para el examen AWS Certified Cloud Practitioner.

Actividades

Este curso incluye presentaciones en vídeo, demostraciones, enlaces a recursos y pruebas de conocimientos. 

Objetivos del curso

En este curso, aprenderás a hacer lo siguiente:


Público objetivo

Este curso está dirigido al siguiente público:

Requisitos previos

Aconsejamos que cada participante del curso cuente con lo siguiente:

 

Esquema del curso

Módulo 1: Introducción a Amazon Web Services

Módulo 2: Computación en la nube

Módulo 3: Infraestructura global y fiabilidad

Módulo 4: Redes