Course Details
Course Code: AI-3026; Duration: 1 Day; Instructor-led
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 Foundry 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.
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Audience
AI Engineer
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.
Methodology
This program will be conducted with interactive lectures, PowerPoint presentations, discussions and practical exercise
Course Objectives
None
Outlines
AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.
Lesson
- Introduction
- What are AI agents?
- Options for agent development
- Azure AI Foundry Agent Service
- Exercise – Explore AI Agent development
- Module assessment
- Summary
This module provides engineers with the skills to begin building agents with Azure AI Foundry Agent Service.
Lesson
- Introduction
- What is an AI agent
- How to use Azure AI Foundry Agent Service
- Develop agents with the Azure AI Foundry Agent Service
- Exercise – Build an AI agent
- Module assessment
- Summary
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.
Lesson
- Introduction
- Why use custom tools
- Options for implementing custom tools
- How to integrate custom tools
- Exercise – Build an agent with custom tools
- Module assessment
- Summary
This module provides engineers with the skills to begin building Azure AI Foundry Agent Service agents with Semantic Kernel.
 Lesson
- Introduction
- Understand Semantic Kernel AI agents
- Create an Azure AI agent with Semantic Kernel
- Add plugins to Azure AI agent
- Exercise – Develop an Azure AI agent with the Semantic Kernel SDK
- Knowledge check
- Summary
Learn how to use the Semantic Kernel SDK to develop your own AI agents that can collaborate for a multi-agent solution.
Lesson
- Introduction
- Understand the Semantic Kernel Agent Framework
- Create an agent group chat
- Design an agent selection strategy
- Define a chat termination strategy
- Exercise – Develop a multi-agent solution
- Knowledge check
- Summary
