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

In this module, you will learn how to describe core concepts related to AI agents, explore options for agent development, and create and test an agent in the Azure AI Foundry portal.

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

In this module, you will learn how to describe the purpose of AI agents, explain the key features of Azure AI Foundry Agent Service, build an agent using the service, and integrate it into your application.

Module 3: Integrate Custom Tools into Your Agent

In this module, you will learn how to extend the capabilities of your AI agent by integrating custom tools, enhancing its functionality beyond built-in options. 

Module 4: Develop an AI Agent with Semantic Kernel

In this module, you will learn how to build AI agents using the Semantic Kernel Agent Framework, leveraging its features for advanced agent development.

Module 5: Orchestrate a Multi-Agent Solution Using Semantic Kernel

In this module, you will learn how to use the Semantic Kernel SDK to develop AI agents that can collaborate, creating a multi-agent solution for complex tasks.

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