Develop AI Agents in Azure

The following exercises are designed to provide you with a hands-on learning experience in which you’ll explore common tasks that developers do when building AI agents on Microsoft Azure.

Note: To complete the exercises, you’ll need an Azure subscription in which you have sufficient permissions and quota to provision the necessary Azure resources and generative AI models. If you don’t already have one, you can sign up for an Azure account. There’s a free trial option for new users that includes credits for the first 30 days.

Exercises

Explore AI Agent development

Take your first steps in developing AI agents by exploring the Azure AI Agent service tools in the Azure AI Foundry portal.

Develop an AI agent

Use the Azure AI Agent Service to develop an agent that uses built-in tools.

Use a custom function in an AI agent

Learn how to use functions to add custom capabilities to your agents.

Develop an Azure AI agent with the Semantic Kernel SDK

Learn how to use the Semantic Kernel SDK to create and use an Azure AI Agent Service agent.

Develop a multi-agent solution

Learn to configure multiple agents to collaborate using the Semantic Kernel SDK

Note: While you can complete these exercises on their own, they’re designed to complement modules on Microsoft Learn; in which you’ll find a deeper dive into some of the underlying concepts on which these exercises are based.