Develop AI agents on Azure (AI-3026)

Objectives

• Understand core concepts and development options for AI agents on Azure.

• Build, test, and integrate AI agents using Azure AI Agent Service.

• Leverage Semantic Kernel SDK to enhance AI agent capabilities.

• Integrate custom tools for advanced AI agent functionalities.

• Develop multi-agent solutions with custom collaboration strategies.

• Apply hands-on labs to gain real-world AI agent development experience.

Target Audience

• AI Engineer

Prerequisites Required:

• Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.

Course Outline

1) Fundamentals of AI agents on Azure • Describe core concepts related to AI agents • Describe options for agent development • Create and test an agent in the Azure AI Foundry portal • Lab: Explore AI Agent development

2) Develop an AI agent with Azure AI Agent Service • Describe the purpose of AI agents • Explain the key features of Azure AI Agent Service • Build an agent using the Azure AI Agent Service • Integrate an agent in the Azure AI Agent Service into your own application • Lab: Build an AI agent

3) Integrate custom tools into your agent • Describe the benefits of using custom tools with your agent • Explore the different options for custom tools • Build an agent that integrates custom tools using the Azure AI Agent Service

• Lab: Build an agent with custom tools

4) Develop an AI agent with Semantic Kernel • Use Semantic Kernel to connect to an Azure AI Foundry project • Create Azure AI Agent Service agents using the Semantic Kernel SDK • Integrate plugin functions with your AI agent • Lab: Develop an Azure AI agent with the Semantic Kernel SDK

5) Orchestrate a multiagent solution using Semantic Kernel • Build AI agents using the Semantic Kernel SDK • Develop multi-agent solutions • Create custom selection and termination strategies for agent collaboration • Lab: Develop a multi-agent solution