Develop AI Agents on Azure (AI-3026)

Course 8698

  • Duration: 1 day
  • Language: English
  • Level: Intermediate

This training class introduces AI agents, focusing on their development and deployment using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. Participants will learn when to use AI agents and how to build them effectively on Azure.

Develop AI Agents on Azure (AI-3026) Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Develop AI Agents on Azure (AI-3026) Course Information

In this course, you will gain:

  • Enhanced Understanding: Gain insights into the core concepts of AI agents and their applications.
  • Practical Skills: Learn to build AI agents using Azure's tools and frameworks.
  • Integration Techniques: Understand how to integrate custom tools into AI agents to extend their capabilities.

Prerequisites

  • Familiarity with fundamental AI concepts and services in Azure.
  • Completion of the "Get started with artificial intelligence" learning path is recommended.

Develop AI Agents on Azure (AI-3026) Course Outline

Module 1: Get Started with AI Agent Development on Azure

  • Introduction to AI agents as the next generation of intelligent applications
  • Understand how agents can be developed and deployed on Microsoft Azure

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

  • Explore the Azure AI Foundry Agent Service
  • Build your first AI agent on the platform
  • Module 3: Integrate Custom Tools into Your Agent
  • Review the role of built-in tools
  • Extend agent capabilities by adding custom tools

Module 4: Develop a Multi-Agent Solution with Azure AI Foundry Agent Service

  • Break down complex tasks with multiple agents
  • Design and implement collaborative, connected agents

Module 5: Integrate MCP Tools with Azure AI Agents

  • Enable dynamic tool access for Azure AI agents
  • Connect MCP-hosted tools into agent workflows

Module 6: Develop an AI Agent with Semantic Kernel

  • Learn how Semantic Kernel supports Azure AI Foundry Agent Service
  • Build and run agents using Semantic Kernel

Module 7: Orchestrate a Multi-Agent Solution Using Semantic Kernel

  • Apply the Semantic Kernel SDK to design multi-agent solutions
  • Enable collaboration between agents for complex task execution

Module 8: Discover Azure AI Agents with A2A

  • Implement the A2A protocol for agent discovery
  • Enable direct communication and coordinated execution across remote agents

Need Help Finding The Right Training Solution?

Our training advisors are here for you.

Develop AI Agents on Azure (AI-3026) FAQs

No. Data is not used by Microsoft for training models.

Data is stored in the same region as the endpoint, ensuring compliance with data residency requirements.

Chat With Us