Get tips and tricks for teaching AI-102 Designing and Implementing a Microsoft Azure AI Solution: Review

Unit 3, 'Learn Learning Path Best Practices', is where the circular logic set in. The module tells you to tell your students a story. Then Unit 4 tells you to use the labs. Unit 5 says to explain the concepts. It’s just a set of instructions on how to instruct, written with the depth of a PowerPoint slide. I went through this hoping for some non-obvious insights into the trickier parts of the AI-102 curriculum, maybe a real discussion on common student misconceptions around, say, QnA Maker vs. Azure Search, or model deployment race conditions. There was none of that.

This isn't a course. It's a teacher's edition preface, stretched into a one-hour module. The whole thing is basically a list of links to the *actual* learning paths and labs, interspersed with advice like 'manage your time' and 'introduce technical topics carefully.' For someone who has never taught a technical subject before, I suppose this might serve as a very basic pre-flight checklist. It gives timing estimates for each section, which could be useful for a first-time instructor building their lesson plan.

But for anyone already familiar with the subject matter, you will just find yourself clicking 'Continue' repeatedly, waiting for a technical insight that never arrives. The content is so generic it could apply to teaching almost any Azure certification. Its only value is as a table of contents. I would have been better off just going straight to the AI-102 GitHub repository and reading the lab instructions.