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Develop AI agents on Azure
Duration
.5
Course
MOC-AI-3026
Available Formats
Classroom Training, Online Training
Course Description
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.Objectives
By the end of this course, students will be able to:
- Describe core concepts related to AI agents.
- Describe options for agent development.
- Create and test an agent in the Azure AI Foundry portal.
- Describe the purpose of AI agents.
- Explain the key features of Azure AI Foundry Agent Service.
- Build an agent using the Foundry Agent Service.
- Integrate an agent in the Foundry Agent Service into your own application.
- 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 Foundry Agent Service
- Describe how connected agents enable modular, collaborative workflows.
- Design a multi-agent solution by defining main agent tools and connected agent roles.
- Build and run a connected agent solution.
- Explain the roles of the MCP server and client in tool discovery and invocation.
- Wrap MCP tools as asynchronous functions and register them with Azure AI agents.
- Build an Azure AI agent that dynamically accesses and calls MCP tools during runtime.
- Use Semantic Kernel to connect to an Azure AI Foundry project.
- Create Azure AI Foundry Agent Service agents using the Semantic Kernel SDK.
- Integrate plugin functions with your AI agent.
- Build AI agents using the Semantic Kernel SDK.
- Develop multi-agent solutions.
- Create custom selection and termination strategies for agent collaboration.
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.
Topics
- Get started with AI agent development on Azure
- Introduction
- What are AI agents?
- Options for agent development
- Azure AI Foundry Agent Service
- Exercise - Explore AI Agent development
- Module assessment
- Summary
- Develop an AI agent with Azure AI Foundry Agent Service
- 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
- Integrate custom tools into your agent
- 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
- Develop a multi-agent solution with Azure AI Foundry Agent Service
- Introduction
- Understand connected agents
- Design a multi-agent solution with connected agents
- Exercise - Develop a multi-agent app with Azure AI Foundry
- Module assessment
- Summary
- Integrate MCP Tools with Azure AI Agents
- Introduction
- Understand MCP tool discovery
- Integrate agent tools using an MCP server and client
- Use Azure AI agents with MCP servers
- Exercise - Connect MCP tools to Azure AI Agents
- Module assessment
- Summary
- Develop an AI agent with Semantic Kernel
- 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
- Orchestrate a multi-agent solution using Semantic Kernel
- 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
Related Courses
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Introduction to AI in Azure
MOC-AI-900T00- Duration: 1 Day
- Delivery Format: Classroom Training, Online Training
- Price: 595.00 USD
-
Modern Generative AI with ChatGPT and OpenAI Models
PP-DSGE-100- Duration: 3 Days
- Delivery Format: Classroom Training, Online Training
- Price: 1,755.00 USD
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- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
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