title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.
Develop AI agents on Azure
Duration
1
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 Microsoft Foundry Agent Service and Microsoft 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.
- Configure and deploy AI agents using the agent designer
- Add tools and capabilities to extend your agents' functionality
- Test agents using the integrated playground
- Generate sample code to integrate agents into applications
- Understand the A2A protocol and its role in multi-agent orchestration.
- Design discoverable agents for modular, collaborative problem-solving.
- Implement A2A strategies to discover and invoke remote agents.
Audience
This course is designed for developers, data scientists, and IT professionals who want to build intelligent AI-driven solutions in Azure. It is ideal for individuals with a basic understanding of programming and cloud technologies looking to enhance their skills in creating scalable and interactive AI agents for business or personal projects.
- AI Engineer
- Developer
Prerequisites
- Students should be familiar with fundamental AI concepts and services in Azure.
- Consider completing the Get started with artificial intelligence learning path first.
- Experience with deploying generative AI models in Microsoft Foundry.
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
- Develop AI agents with the Microsoft Foundry extension in Visual Studio Code
- Introduction
- Get started with the Microsoft Foundry extension
- Develop AI agents in Visual Studio Code
- Extend AI agent capabilities with tools
- Exercise - Build an AI agent using the Microsoft Foundry extension
- Module assessment
- 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 Microsoft Agent Framework
- Introduction
- Understand Microsoft Agent Framework AI agents
- Create an Azure AI agent with Microsoft Agent Framework
- Add tools to Azure AI agent
- Exercise - Develop an Azure AI agent with the Microsoft Agent Framework SDK
- Knowledge check
- Orchestrate a multi-agent solution using the Microsoft Agent Framework
- Introduction
- Understand the Microsoft Agent Framework
- Understand agent orchestration
- Use concurrent orchestration
- Use sequential orchestration
- Use group chat orchestration
- Use handoff orchestration
- Use Magentic orchestration
- Exercise - Develop a multi-agent solution
- Knowledge check
- Discover Azure AI Agents with A2A
- Introduction
- Define an A2A agent
- Implement an agent executor
- Host an A2A server
- Connect to your A2A agent
- Exercise - Connect to remote Azure AI Agents with the A2A protocol
- Module assessment
Related Courses
-
Introduction to AI in Azure
MOC-AI-900T00- Duration: 1 Day
- Delivery Format: Classroom Training, Online Training
- Price: 595.00 USD
-
GPT-3
PLPJ-215- Duration: 2 Days
- Delivery Format: Classroom Training, Online Training
- Price: ???
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
Course Added To Shopping Cart
bla
bla
bla
bla
bla
bla
Self-Paced Training Terms & Conditions
??spvc-wbt-warning??
Exam Terms & Conditions
??exam-warning??
??group-training-form-area??
??how-can-we-help-you-area??
??personalized-form-area??
??request-quote-area??
Sorry, there are no classes that meet your criteria.
Please contact us to schedule a class.
STOP! Before You Leave
Save 0% on this course!
Take advantage of our online-only offer & save 0% on any course !
Promo Code skip0 will be applied to your registration
Nothing yet
Purchase Information
??elearning-coursenumber?? ??coursename??
View Cart
title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.