Microsoft AI School Main Class

Basic Information and Schedule

• Microsoft AI School is Artificial Intelligence developer education course. After a 5 months programming education, I did team project.
• Period : 2022-09-30 ~ 2023-03-22
• Curriculum : https://msaischool.kr/course | Official Homepage
  • Front-End, Python(+PyTorch and etc.) and AI, Machine Learning(+Deep Learning) and additional library, framework.
  • LinkedIn, GitHub, Azure Cloud and etc...
  • Career Mentoring & Consult, Townhall Meeting and various special lecture of computer science and technology.
  • Team project(I did a each 2 of image classification and object detection works)
• This repository is backup space for main class of Microsoft AI School. There are a lot of data about Python, AI script not front end source code.

1. Python Basic

• Directory : Python Basic
• Learn about basic of Python.
• Python grammer, various library, and etc. script file executed on Google Colab.

2. Aritificial Intelligence Basic

• Directory : Aritificial Intelligence Basic
• Practice about Azure Cognitive Services. For example, Computer Vision, Face API, OCR and Custom Vision.
• Useful external library for AI programming. For example, Numpy, Pandas, MatplotLib and etc.
• MySQL, Web Crawling, Data Preprocessing

3. Deep Learning Basic

• Directory : Deep Learning Basic
• Practice about basic of deep learning. For example, scikit-learn, supervised learning(regression, classification), unsupervised learning, tensor, keras, math for CNN and also CNN practice.

4. Cloud Computing

• Directory : Cloud Computing
• Practice about cloud computing and deployment of services and container system. For example, Docker, Kubernetes, Azure Machine Learning Studio, Azure - Blog Storage, File Share, Storage Queue, Eventhub, Stream Analytics, Data Studio, IoT Hub(+C# script, do CRUD activity)
• Microsoft Power BI, make a simple chatbot

5. Data Analysis based on Statistics

• Directory : Data Analysis based on Statistics
• Practice about basic data analysis based on statistics used Pandas, Matplotlib and a little bit of Naturl Language Processing.
• Statistics idea of mathmethical elements.

6. Handle Image and Build Dataset

• Directory : Handle Image and Build Dataset
• Practice about handling image and building dataset by using Numpy, OpenCV.

7. Strengthen Data Labeling, Processing Image, Realize Dataset, Data Process Project

• Directory : Strengthen Data Labeling, Processing Image, Realize Dataset, Data Process Project
• Gather data by using web crawling(Selenium), build custom image dataset, read annotation file(xml, json) and processing to image bounding box, split data for train, validation and test.
• PyTorch start! Build custom dataset class, use augmentation by Albumentation library, process image by keypoints.

8. Artificial Neural Network + Convolutional Neural Network Theory and Practice

• Directory : Artificial Neural Network + Convolutional Neural Network Theory and Practice
• Practice about CNN(Linear Regression, Logistic Regression, Perceptron, ResNet18, 50, RexNet, EfficientNet and various model for custom image dataset classification)

9. Deep Learning and Project for Image Classification Problem Theory and Practice

• Directory : Deep Learning and Project for Image Classification Problem Theory and Practice
• Practice about Deep Learning and project for custom image dataset classification problem.
• Rock-Scissor-Paper classify, butterflies, Birds vs Drone, Eastern Asian face classify by age and sex.

10. Object Detection Theory and Practice

• Directory : Object Detection Theory and Practice
• Practice about object detection for custom image and label dataset of object detection.
• Used various models like Fast R-CNN, YOLOv5, YOLOv7 and MMDetection.
• Some of mini projects(Wine Labels Dataset, Animal Dataset, Park Illegal Object Detection)

11. AI Project

• Directory : AI Project
• The final AI project.
• Our team made a "Hazardous Flying Object Detection System".
• Our system is based on our classification project.
• Our final object detection system consists on YOLOv8 + MariaDB + PyQt5.