🤖 Microsoft Power Platform & AI Builder

A comprehensive, hands-on moduels covering Microsoft Power Platform and AI Builder — from fundamentals to enterprise-grade deployments. Every module includes detailed theory, step-by-step labs, POC projects, and best practices with real-world experience.

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📅 Modules

Module	Topic	POC Lab
Module 01	Power Platform & AI Builder Fundamentals	Invoice email processing flow
Module 02	AI Builder: Form Processing	Invoice extraction to Dataverse
Module 03	Object Detection & Image Models	Inventory recognition app
Module 04	Prediction & Category Classification	Customer feedback analyzer
Module 05	AI Builder + Power Automate	Support ticket classification
Module 06	AI Builder with Power Apps	AI-powered IT helpdesk app
Module 07	Advanced AI Builder Scenarios	Enterprise document automation
Module 08	Power Pages Development	Employee self-service portal
Module 09	Custom Connectors	Weather & news API connector
Module 10	Best Practices & ALM	Deployment pipeline setup

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🛠️ Prerequisites

• Microsoft 365 account (or Power Platform Developer trial at make.powerapps.com)
• Basic understanding of business processes
• No prior coding experience required for most labs
• Recommended: Power Platform Developer environment (free)

🏗️ What You Will Build

By the end of this course you will have hands-on experience with:

AI Models trained:

• Document Processing — invoice, purchase order, delivery receipt
• Object Detection — inventory recognition
• Category Classification — ticket routing, feedback categorization
• Prediction — customer churn scoring
• GPT Prompts — ticket analysis, content summarization

Applications built:

• Inventory scanner (mobile Canvas App with live camera + AI)
• AI-powered IT helpdesk app (GPT-assisted ticket submission)
• Employee self-service portal (Power Pages)
• Executive morning briefing app (custom connectors)

Automations built:

• Invoice extraction pipeline (email → AI → Dataverse)
• Support ticket classifier and router (email → AI → Teams)
• Document automation pipeline (multi-model, multi-step)
• Deployment pipeline (DEV → TEST → PROD)

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📦 Repository Structure

powerplatform-aibuilder-course/
│
├── README.md                          ← Course overview (this file)
├── LICENSE
├── CONTRIBUTING.md
├── resources/
│   └── quick-reference.md             ← Formulas, naming conventions, credit guide
│
├── Module-01-PowerPlatform-Fundamentals/
│   └── README.md                      ← Theory + Lab: Invoice email flow
│
├── Module-02-Form-Processing/
│   └── README.md                      ← Theory + Lab: Custom invoice model
│
├── Module-03-Object-Detection-Image-Models/
│   └── README.md                      ← Theory + Lab: Inventory scanner app
│
├── Module-04-Prediction-Classification/
│   └── README.md                      ← Theory + Lab: Feedback analyzer
│
├── Module-05-PowerAutomate-Integration/
│   └── README.md                      ← Theory + Lab: Ticket routing flow
│
├── Module-06-PowerApps-Integration/
│   └── README.md                      ← Theory + Lab: AI helpdesk app
│
├── Module-07-Advanced-Scenarios/
│   └── README.md                      ← Theory + Lab: Enterprise doc automation
│
├── Module-08-Power-Pages/
│   └── README.md                      ← Theory + Lab: Self-service portal
│
├── Module-09-Custom-Connectors/
│   └── README.md                      ← Theory + Lab: API connectors
│
└── Module-10-Best-Practices-ALM/
    └── README.md                      ← Theory + Lab: ALM & deployment pipelines

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🔗 Essential Links

• Power Platform Home
• Power Automate
• AI Builder Docs
• AI Builder Licensing
• Power Platform Developer Plan (Free)
• Copilot Studio

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Every concept in this here is explained with:

• Real-world context — not just features, but when and why
• Step-by-step labs — no guessing, no assumptions
• Best practices — things that took years to learn
• Common mistakes — what NOT to do and why

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Start learning: Module 01 — Power Platform & AI Builder Fundamentals →