AI-3026: Develop AI agents on Azure

Course structure

Module 1: Get started with AI agent development on Azure

• 1.1.1 Introduction
• 1.2 What are AI agents?
• 1.3 Options for agent development
• 1.4 Microsoft Foundry Agent Service
• 1.5 Summary

Module 2: Develop an AI agent with Microsoft Foundry Agent Service

• 2.1 Introduction
• 2.2 What is an AI agent
• 2.3 How to use Microsoft Foundry Agent Service
• 2.4 Develop agents with the Microsoft Foundry Agent Service
• 2.5 Summary

Module 3: Develop AI agents with the Microsoft Foundry extension in Visual Studio Code

• 3.1 Introduction
• 3.2 Get started with the Microsoft Foundry extension
• 3.3 Part 1 Develop AI agents in Visual Studio Code
• 3.3 Part 2 Develop AI agents in Visual Studio Code
• 3.4 Extend AI agent capabilities with tools
• 3.5 Summary

Module 4: Integrate custom tools into your agent

• 4.1 Introduction
• 4.2 Why use custom tools
• 4.3 Options for implementing custom tools
• 4.4 How to integrate custom tools
• 4.5 Summary

Module 5: Develop a multi-agent solution with Microsoft Foundry Agent Service

• 5.1 Introduction
• 5.2 Understand connected agents
• 5.3 Design a multi-agent solution with connected agents
• 5.4 Summary

Module 6: Integrate MCP Tools with Azure AI Agents

• 6.1 Introduction
• 6.2 Understand MCP tool discovery
• 6.3 Integrate agent tools using an MCP server and client
• 6.4 Use Azure AI agents with MCP servers
• 6.5 Summary

Module 7: Develop an AI agent with Microsoft Agent Framework

• 7.1 Introduction
• 7.2 Understand Microsoft Agent Framework AI agents
• 7.3 Create an Azure AI agent with Microsoft Agent Framework
• 7.4 Add tools to Azure AI agent
• 7.5 Summary

Module 8: Orchestrate a multi-agent solution using the Microsoft Agent Framework

• 8.1 Introduction
• 8.2 Understand the Microsoft Agent Framework
• 8.3 Understand agent orchestration
• 8.4 Use concurrent orchestration
• 8.5 Use sequential orchestration
• 8.6 Use group chat orchestration
• 8.7 Use handoff orchestration
• 8.8 Use Magentic orchestration
• 8.9 Summary

Module 9: Discover Azure AI Agents with A2A

• 9.1 Introduction
• 9.2 Define an A2A agent
• 9.3 Implement an agent executor
• 9.4 Host an A2A server
• 9.5 Connect to your A2A agent
• 9.6 Summary

Module 10: Build agent-driven workflows using Microsoft Foundry

• 10.1 Introduction
• 10.2 Understand Workflows
• 10.3 Identify Workflow Patterns
• 10.4 Create workflows in Microsoft Foundry
• 10.5 Add Agents to a Workflow
• 10.6 Apply Power Fx in Workflows
• 10.7 Maintain Workflows in Microsoft Foundry
• 10.8 Use workflows in code
• 10.9 Summary

Module 11: Build knowledge-enhanced AI agents with Foundry IQ

• 11.1 Introduction
• 11.2 Understanding RAG for agents
• 11.3 Explore Foundry IQ
• 11.4 Part 1 Configure data sources for knowledge bases
• 11.4 Part 2 Configure data sources for knowledge bases
• 11.5 Configure retrieval with Foundry IQ
• 11.6 Summary