Develop AI agents on Azure

  • Learning Path
  • 5 Modules

At a glance

Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.

Modules in this learning path

Get started with AI agent development on Azure

AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.

Develop an AI agent with Azure AI Agent Service

This module provides engineers with the skills to begin building agents with Azure AI Agent Service.

Integrate custom tools into your agent

Built-in tools are useful, but they may not meet all your needs. In this module, learn how to extend the capabilities of your agent by integrating custom tools for your agent to use.

Develop an AI agent with Semantic Kernel

This module provides engineers with the skills to begin building Azure AI Agent Service agents with Semantic Kernel.

Orchestrate a multi-agent solution using Semantic Kernel

Learn how to use the Semantic Kernel SDK to develop your own AI agents that can collaborate for a multi-agent solution.