Catalog listing Microsoft Learn module

Analyze and debug your generative AI app with tracing: Review

Item: Analyze and debug your generative AI app with tracing
Rating: 3.8
Author: Marcus T.

Named reviewer score 3.8 / 5

Teaching 3.0
Hands-on 4.0
Freshness 4.0
Value 4.0
Career fit 3.0

Reviewed by Marcus T. Former finance backend engineer, now an independent developer

Provider: Microsoft Learn Format: Self-paced module with text, code snippets, and a knowledge check quiz. Time: Under an hour, including the exercise. Price: The module itself is free on Microsoft Learn. Check for any associated exam or certification costs. — Check current pricing on the official site.

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Reviewer's verdict

This is a product tutorial, not a deep lesson on observability. It does its job: gets you instrumenting a basic GenAI app on Azure with Foundry in under an hour. Take it for that, not for the theory.

Decision summary

3.8/5 Last verified: August 31, 2026

Best for

Developers already building on Azure who need a quick, practical intro to tracing with Foundry.

Watch for

Barely scratches the surface of OpenTelemetry.

Teaching 3.0
Hands-on 4.0
Freshness 4.0
Value 4.0
Career fit 3.0

Who it's for

Developers already building on Azure who need a quick, practical intro to tracing with Foundry.

Who should skip it

Anyone looking for a deep dive into OpenTelemetry theory or tracing on non-Azure stacks.

Pros

Extremely fast and to the point.
Practical exercise shows exactly how to add tracing to an app.
Focuses on a concrete tool (Foundry) instead of just theory.

Cons

Barely scratches the surface of OpenTelemetry.
Feels more like a product quickstart than a full course on observability.
The 'Analyze Trace Data' section is very brief.

This one dumps you into a GitHub repo for the exercise. No hand-holding, which I appreciate. You’re expected to clone it, set up your dev container, and get to work. It’s a fast way to see if you can follow basic instructions.

The content is a straight-up product demo for Foundry. It shows you exactly what to instrument in a RAG app—the retriever call, the LLM call—and how the traces look in the dashboard. Nothing more. The theory sections on 'Why Tracing' are skippable; the value is in the five lines of code you actually add.

I finished it during a coffee break. It does one thing: it shows you how to use their tool. It won't make you an expert on observability, but it's a useful 45 minutes if you're already in the Azure ecosystem and need to debug your chain of calls.

Last verified: August 31, 2026. We re-check course details periodically — see our methodology. Pricing and availability can change; always confirm on the official site.

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