Catalog listing Microsoft Learn path

Create machine learning models: Review

Named reviewer score 3.8 / 5
  • Teaching 3.5
  • Hands-on 4.0
  • Freshness 4.0
  • Value 5.0
  • Career fit 3.0

Provider: Microsoft Learn Format: Self-paced learning path Time: 6-7 hours Price: Free on Microsoft Learn — Check current pricing on the official site.

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Reviewer's verdict

A solid, free, and practical survey of ML fundamentals, perfect for getting comfortable with the Azure ecosystem, but it's a guided tour, not a deep dive.

Decision summary

3.8/5 Last verified: August 31, 2026

Best for

Students needing a structured intro to ML concepts with hands-on labs in the Azure ecosystem.

Watch for

Content is a survey; not deep on any single topic.

  • Teaching 3.5
  • Hands-on 4.0
  • Freshness 4.0
  • Value 5.0
  • Career fit 3.0

Who it's for

Students needing a structured intro to ML concepts with hands-on labs in the Azure ecosystem.

Who should skip it

Learners who want to avoid vendor-specific tools or need deep theoretical foundations.

Pros

  • Well-structured modules covering major model types.
  • Hands-on labs are practical and use Azure ML.
  • Completely free, providing significant value.

Cons

  • Content is a survey; not deep on any single topic.
  • Heavily tied to the Azure Machine Learning platform.
  • Feels more like product documentation than a university course.

The labs are the whole point here. It's one thing to read about regression and classification, but another to actually spin up an Azure ML workspace and run the notebooks. The path guides you through each step, so it’s hard to get truly lost. For a free resource, this is impressively comprehensive—it touches on everything from data exploration with Python to basic deep learning.

The catch? It's very much an Azure tutorial. You're learning the Microsoft way of doing things, which is fine if you plan to use their tools. But don't mistake this for a vendor-neutral theory course. I finished it in a weekend, and while it definitely demystified some of the Azure ML interface for me, the actual modeling concepts felt a bit shallow. It’s more of a 'how-to' guide for the platform than a fundamental ML course.

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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