Get started with AI agent development on Azure
This module introduces AI agents as a core building block for next-generation applications on Microsoft Azure.
- Introduction to AI agents and intelligent applications
- What AI agents are and how they differ from traditional applications
- Options for AI agent development on Azure
- Overview of Microsoft Foundry Agent Service
- Exercise exploring AI agent development concepts and tools
- Module assessment and summary
Develop an AI agent with Microsoft Foundry Agent Service
This module provides hands-on guidance for building AI agents using Microsoft Foundry Agent Service.
- Introduction to agent development with Foundry
- Understanding AI agent capabilities and behaviours
- Using Microsoft Foundry Agent Service to create agents
- Developing and configuring agents for real-world use cases
- Exercise building an AI agent with Foundry Agent Service
- Module assessment and summary
Develop AI agents with the Microsoft Foundry extension in Visual Studio Code
This module focuses on developer workflows for building and managing AI agents in Visual Studio Code.
- Introduction to the Microsoft Foundry extension
- Getting started with agent development in Visual Studio Code
- Developing and testing AI agents locally
- Extending agent capabilities with integrated tools
- Exercise building an AI agent using the Foundry extension
- Module assessment and summary
Integrate custom tools into your agent
This module explores how to extend AI agents beyond built-in functionality using custom tools.
- Introduction to agent extensibility
- Why and when to use custom tools
- Options for implementing custom tools for AI agents
- Integrating custom tools into agent workflows
- Exercise building an AI agent with custom tools
- Module assessment and summary
Develop a multi-agent solution with Microsoft Foundry Agent Service
This module introduces connected agents and collaborative AI patterns.
- Introduction to multi-agent solutions
- Understanding connected agents and agent collaboration
- Designing a multi-agent solution using Foundry Agent Service
- Exercise developing a multi-agent application with Foundry
- Module assessment and summary
Integrate MCP tools with Azure AI agents
This module enables dynamic tool access by integrating MCP-hosted tools into AI agents.
- Introduction to MCP tools and dynamic tool access
- Understanding MCP tool discovery
- Integrating agent tools using MCP servers and clients
- Using Azure AI agents with MCP servers
- Exercise connecting MCP tools to Azure AI agents
- Module assessment and summary
Develop an AI agent with Microsoft Agent Framework
This module introduces the Microsoft Agent Framework SDK for building Azure AI agents.
- Introduction to Microsoft Agent Framework
- Understanding AI agents built with the framework
- Creating an Azure AI agent using Microsoft Agent Framework
- Adding tools to Azure AI agents
- Exercise developing an Azure AI agent with the Agent Framework SDK
- Knowledge check and summary
Orchestrate a multi-agent solution using the Microsoft Agent Framework
This module focuses on coordinating multiple agents using orchestration patterns.
- Introduction to agent orchestration
- Understanding orchestration concepts in the Agent Framework
- Using concurrent orchestration
- Using sequential orchestration
- Using group chat orchestration
- Using handoff orchestration
- Using Magentic orchestration
- Exercise developing a multi-agent solution
- Knowledge check and summary
Discover Azure AI agents with A2A
This module introduces the A2A protocol for agent discovery and communication.
- Introduction to A2A and remote agent collaboration
- Defining an A2A agent
- Implementing an agent executor
- Hosting an A2A server
- Connecting to an A2A agent
- Exercise connecting to remote Azure AI agents using A2A
- Module assessment and summary
Exams and assessments
This course includes module-level assessments and knowledge checks to reinforce learning throughout the programme. There are no formal certification exams associated with this course. Practical exercises and assessments are used to validate understanding of AI agent development concepts and tools.
Hands-on learning
This course includes extensive hands-on learning through guided exercises and practical labs. Learners will build single-agent and multi-agent solutions, integrate tools, and deploy agents using Azure services and developer tooling. Instructors guide participants through real-world scenarios that reinforce practical application and problem-solving skills.
