Validates knowledge of building Azure AI solutions, including generative AI, agents, computer vision, text analysis and information extraction.
A good AI-103 course teaches Microsoft Foundry, agents and retrieval, and gets you building them in Python, because the exam asks long scenario questions and includes code. We compared the main options on AI-103 coverage, hands-on practice, depth and price.
Most people should start with Microsoft's free AI-103 learning paths and Foundry labs, then review with John Savill's free cram. Choose Luke Ginn's course to learn by following code, or Alan Rodrigues' course for broader video coverage with demos.
| Course | Best for | Format | Price |
|---|---|---|---|
 Develop AI apps and agents on Azure (AI-103T00) | Free official course | Interactive | Free |
 AI-103 - Azure AI Apps and Agents Developer Associate | Broad video coverage | Video | $20 |
| AI-103: Azure AI App and Agent Developer - Complete Course | Learning by following code | Video | $35 |
 AI-103 Develop AI Apps and Agents on Azure Study Cram | Free review | Video | Free |
Microsoft's official learning paths for each AI-103 skill area, with hands-on labs in Microsoft Foundry. The content is free to read and works through the skills the exam measures in the order Microsoft teaches them.
Great fit if you want the official syllabus with labs and no course fee
Poor fit if you learn best from video; choose Luke Ginn's or Alan Rodrigues' course
A 33-hour video course reworked for AI-103, with sections on Foundry, agents and RAG, plus domain quizzes. Demos show the services in use, and some sections still carry over from the older AI-102 course.
Great fit if you want broad video coverage with demos
Poor fit if you want a short, tightly focused course; choose John Savill's free cram
A long course of video and code walkthroughs built around the 2026 agentic syllabus. It shows the code behind multi-agent orchestration, tracing and agent identity, so you see how each skill is built rather than only described.
Great fit if you learn best by following code
Poor fit if you want slides and theory first; choose Alan Rodrigues' course
A chaptered whiteboard review of every AI-103 skill area on YouTube, from model deployment to multi-agent orchestration. At about two hours it works as an overview before you study or a final review before the exam.
Great fit if you want a free overview or final review
Poor fit if you need hands-on practice; start with Microsoft's labs
For most people, Microsoft's free AI-103 learning paths with its Foundry labs. Add Luke Ginn's Udemy course if you want to follow code, or Alan Rodrigues' course for broader video coverage.
Yes. Microsoft's learning paths and labs, John Savill's cram and Microsoft's free practice assessment cover the exam. The labs run in your own Azure subscription, so model calls can cost money.
The two Udemy video courses run about 33 hours each. Plan for about 70 hours of preparation in total, including building in Foundry and practice questions.
Microsoft expects you to build apps in Python, and the exam includes SDK code. Anyone can book the exam, but Luke Ginn's code walkthroughs help most if Python is new to you.