Azure AI Foundry Workshop (4-5 hours)¶

This hands-on workshop guides you through building AI-native applications using Azure AI Foundry, with examples related to health and dietary advice.

You can run this workshop in several ways: 1. GitHub Codespaces: Click the button above to start coding in your browser 2. Visual Studio Code: Visit aka.ms/wksp to set up your local environment 3. Your IDE: Fork and clone this repository to work locally

👉 Get Started: 1. ⭐ Star this repository to show your support 2. 🔄 Fork it to your account to start building 3. 📝 Follow the learning path below

Learning Path¶

1. Introduction (30 minutes)¶

• Authentication: Set up Azure credentials
• Environment Setup: Configure development environment
• Quick Start: Basic Azure AI operations

2. Chat Completion & RAG (1 hour)¶

• Basic Chat Completion
• Embeddings
• Basic RAG
• Phi-4 Model

3. Building AI Agents (2 hours)¶

• Agent Basics
• Code Interpreter
• File Search
• Bing Grounding
• AI Search Integration
• Azure Functions Deployment

4. Quality & Monitoring (30 minutes)¶

• Observability
• Evaluation

5. E2E Sample Application (1 hour)¶

Build a complete AI-native health advisor application: - Sample Architecture - Backend Implementation - Frontend Implementation

Prerequisites¶

See the Prerequisites section for detailed setup instructions.

Azure Documentation¶

For detailed service documentation, refer to: - Azure AI Foundry 【†L1】 - Azure AI Services 【†L2】 - Azure AI Search 【†L3】

Copy Context for LLMs¶

To get AI-friendly context about Azure AI SDKs and implementation patterns, click the "Copy Context for LLMs" button at the top of this page. This will copy relevant information about: - Azure AI Projects SDK - Azure AI Inference SDK - Azure AI Agent patterns and tools