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  • Опис
  • Содржина
  • За кого е наменет

This course is designed to teach participants how to create, deploy, and manage intelligent AI agents using Azure AI Foundry. Students will learn to integrate advanced AI capabilities through agents into scalable, customizable solutions.

 

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.

LEARNING PATH

 

  • Module 1: Get started with AI agent development on Azure

AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.

 

  • Module 2: Develop an AI agent with Azure AI Foundry Agent Service

This module provides engineers with the skills to begin building agents with Azure AI Foundry Agent Service.

 

  • Module 3: Integrate custom tools into your agent

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.

 

  • Module 4: Develop a multi-agent solution with Azure AI Foundry Agent Service

Break down complex tasks with intelligent collaboration. Learn how to design multi-agent solutions using connected agents.

 

  • Module 5: Integrate MCP Tools with Azure AI Agents

Enable dynamic tool access for your Azure AI agents. Learn how to connect MCP-hosted tools and integrate them seamlessly into agent workflows.

 

  • Module 6: Develop an AI agent with Semantic Kernel

This module provides engineers with the skills to begin building Azure AI Foundry Agent Service agents with Semantic Kernel.

 

  • Module 7: Orchestrate a multi-agent solution using Semantic Kernel

Learn how to use the Semantic Kernel SDK to develop your own AI agents that can collaborate for a multi-agent solution.

 

  • Module 8: Discover Azure AI Agents with A2A

Learn how to implement the A2A protocol to enable agent discovery, direct communication, and coordinated task execution across remote agents.

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.

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

Опис

This course is designed to teach participants how to create, deploy, and manage intelligent AI agents using Azure AI Foundry. Students will learn to integrate advanced AI capabilities through agents into scalable, customizable solutions.

 

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.

Содржина

LEARNING PATH

 

  • Module 1: Get started with AI agent development on Azure

AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.

 

  • Module 2: Develop an AI agent with Azure AI Foundry Agent Service

This module provides engineers with the skills to begin building agents with Azure AI Foundry Agent Service.

 

  • Module 3: Integrate custom tools into your agent

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.

 

  • Module 4: Develop a multi-agent solution with Azure AI Foundry Agent Service

Break down complex tasks with intelligent collaboration. Learn how to design multi-agent solutions using connected agents.

 

  • Module 5: Integrate MCP Tools with Azure AI Agents

Enable dynamic tool access for your Azure AI agents. Learn how to connect MCP-hosted tools and integrate them seamlessly into agent workflows.

 

  • Module 6: Develop an AI agent with Semantic Kernel

This module provides engineers with the skills to begin building Azure AI Foundry Agent Service agents with Semantic Kernel.

 

  • Module 7: Orchestrate a multi-agent solution using Semantic Kernel

Learn how to use the Semantic Kernel SDK to develop your own AI agents that can collaborate for a multi-agent solution.

 

  • Module 8: Discover Azure AI Agents with A2A

Learn how to implement the A2A protocol to enable agent discovery, direct communication, and coordinated task execution across remote agents.

За кого е наменет

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.

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

Контакт

  • Ирена Ивановска
    +389 70 246 146 irena@semos.com.mk