Azure-AI_Foundry

Module 11: Integrations

Overview

Azure AI Foundry integrates with developer tools, AI frameworks, and enterprise services. This module covers the integration ecosystem from IDE extensions and SDKs to orchestration frameworks and enterprise connectors.

Integration Ecosystem

Developer Tools:   VS Code Extension | GitHub Copilot | Jupyter | CLI
AI Frameworks:     Semantic Kernel | LangChain | AutoGen | LlamaIndex
AI Foundry:        Models | Prompt Flow | Evaluations | Deployments
Enterprise:        APIM | Functions | Logic Apps | Teams | Fabric | Copilot Studio

Integration Categories

First-Party

| Integration | Purpose | |————-|———| | VS Code Extension | Build and test prompt flows locally | | Azure CLI (az ml) | Automate AI operations from command line | | AI Foundry SDK | Programmatic access to all platform features | | GitHub Actions | CI/CD pipeline integration | | Azure APIM | AI Gateway for governance and rate limiting | | Azure Functions | Serverless AI-powered microservices | | Copilot Studio | Low-code bot builder with AI Foundry models |

Third-Party & Open-Source

| Framework | Best For | |———–|———-| | Semantic Kernel | Enterprise .NET/Python apps with AI orchestration | | LangChain | Rapid prototyping, complex chains and agents | | AutoGen | Multi-agent conversations and collaboration | | LlamaIndex | Data-centric RAG with advanced indexing |

Module Lessons

| Lesson | Topic | Focus | |——–|——-|——-| | 1 | Developer Tools | VS Code, CLI, SDK, notebooks, REST API | | 2 | AI Frameworks | Semantic Kernel, LangChain, AutoGen, LlamaIndex | | 3 | Enterprise Integrations | APIM, Functions, Logic Apps, Teams, Fabric |

Learning Objectives

Build on standards, not lock-in. AI Foundry exposes OpenAI-compatible APIs so you can swap frameworks and models without rewriting your application.

References