Module 01: Plan and prepare to develop AI solutions on Azure
Module 02: Select, deploy, and evaluate Microsoft Foundry models
Module 03: Develop a generative AI chat app with Microsoft Foundry
Module 04: Develop generative AI apps that use tools
Module 05: Optimize generative AI model performance with Microsoft Foundry
Module 06: Implement a responsible generative AI solution in Microsoft Foundry
Module 07: Develop AI agents with Microsoft Foundry and Visual Studio Code
Module 08: Integrate custom tools into your agent
Module 09: Integrate MCP Tools with Azure AI Agents
Module 10: Build knowledge-enhanced AI agents with Foundry IQ
Module 11: Integrate your agent with Microsoft 365
Module 12: Build agent-driven workflows using Microsoft Foundry
Module 13: Develop an AI agent with Microsoft Agent Framework
Module 14: Orchestrate a multi-agent solution using the Microsoft Agent Framework
Module 15: Discover Azure AI Agents with A2A
Module 16: Analyze text with Azure Language in Foundry Tools
Module 17: Develop a text analysis agent with the Azure Language MCP server
Module 18: Develop a speech-capable generative AI application
Module 19: Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
Module 20: Develop a speech agent with the Azure Speech MCP server
Module 21: Develop an Azure Speech Voice Live Agent in Microsoft Foundry
Module 22: Translate text and speech with Microsoft Foundry Tools
Module 23: Develop a vision-enabled generative AI application
Module 24: Generate images with AI
Module 25: Generate videos with Microsoft Foundry
Module 26: Analyze images with Content Understanding
Module 27: Create a multimodal analysis solution with Azure Content Understanding
Module 28: Create an Azure Content Understanding client application
Module 29: Extract data with Azure Document Intelligence
Module 30: Create a knowledge mining solution with Azure AI Search