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 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.
As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
Why Choose KORNERSTONE
- Accredited, practitioner-led, expert certificate trainers to provide high quality training
- Official training material included
- Practical, scenario-based learning – focus on application, not just theory
- Excellent Passing Rate
Skills Covered
- Get started with AI agent development on Azure
- Develop an AI agent with Azure AI Foundry Agent Service
- Integrate custom tools into your agent
- Develop an AI agent with Semantic Kernel
- Orchestrate a multi-agent solution using Semantic Kernel
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.
Target Audience
AI Engineer
Course Curriculum
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.
Learning objectives
By the end of this module, you’ll 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
Prerequisites
Before starting this module, you should be familiar with fundamental AI concepts and services in 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.
Learning objectives
By the end of this module, you’ll be able to:
- 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
Prerequisites
- Familiarity with Azure and the Azure portal.
- An understanding of generative AI. You can learn more with Fundamentals of Generative AI.
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.
Learning objectives
By the end of this module, you’ll be able to:
- 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.
Prerequisites
- Familiarity with Azure and the Azure portal.
- An understanding of generative AI. You can learn more with Fundamentals of Generative AI.
- It’s highly recommended you have experience with the Azure AI Foundry Agent Service. You can learn more with Develop an AI agent with Azure AI Foundry Agent Service.
Module 4: 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.
Learning objectives
By the end of this module, you’ll be able to:
- 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
Prerequisites
- Familiarity with Azure and the Azure portal.
- An understanding of generative AI. You can learn more with Fundamentals of Generative AI.
Module 5: 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.
Learning objectives
By the end of this module, you’ll be able to:
- Build AI agents using the Semantic Kernel SDK
- Develop multi-agent solutions
- Create custom selection and termination strategies for agent collaboration
Prerequisites
- Familiarity with Azure and the Azure portal.
- An understanding of generative AI. You can learn more with Fundamentals of Generative AI.
Dates & Locations
Exam & Certification
Note: There is no exam directly associated with this course. However, Microsoft offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving Microsoft certification is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our full range of Microsoft certifications and start building the skills that matter today.
