- Course overview
- Course details
- Prerequisites
Course overview
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.
Course details
Module 1: Get started with AI agent development on Azure
- What are AI agents?
- Options for agent development
- Azure AI Agent Service
- Exercise - Explore AI Agent development
Module 2: Develop an AI agent with Azure AI Agent Service
- What is an AI agent
- How to use Azure AI Agent Service
- Develop agents with the Azure AI Agent Service
- Exercise - Build an AI agent
Module 3: Integrate custom tools into your agent
- Why use custom tools
- Options for implementing custom tools
- How to integrate custom tools
- Exercise - Build an agent with custom tools
Module 4: Develop an AI agent with Semantic Kernel
- 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
Module 5: Orchestrate a multi-agent solution using Semantic Kernel
- Understand the Semantic Kernel Agent Framework6 min
- Create an agent group chat
- Design an agent selection strategy
- Define a chat termination strategy
- Exercise - Develop a multi-agent solution
Prerequisites
- Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.
Enquiry
Course : AI-3026: Develop AI agents on Azure
Enquiry
request for : AI-3026: Develop AI agents on Azure
