Catalog listing Microsoft Learn module

Train deep learning models in Azure Databricks: Review

Named reviewer score 3.8 / 5
  • Teaching 3.0
  • Hands-on 4.5
  • Freshness 4.0
  • Value 4.5
  • Career fit 3.5

Provider: Microsoft Learn Format: Self-paced module Time: About an hour Price: Free on Microsoft Learn — Check current pricing on the official site.

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Reviewer's verdict

A useful, free hour of practice if your day job is already in Databricks. Otherwise, it's just a sales pitch for their platform.

Decision summary

3.8/5 Last verified: August 31, 2026

Best for

Data scientists already on Azure Databricks needing a quick Horovod/TorchDistributor tutorial.

Watch for

The 'Deep Learning' theory section is a waste of time.

  • Teaching 3.0
  • Hands-on 4.5
  • Freshness 4.0
  • Value 4.5
  • Career fit 3.5

Who it's for

Data scientists already on Azure Databricks needing a quick Horovod/TorchDistributor tutorial.

Who should skip it

Beginners, anyone not committed to the Databricks ecosystem.

Pros

  • Quick, hands-on exercise gets straight to the point.
  • Uses TorchDistributor, which is a practical detail.
  • No cost to run through the notebook.

Cons

  • The 'Deep Learning' theory section is a waste of time.
  • Assumes you're already paying for and comfortable with Databricks.
  • It's more a product demo than a deep learning course.

The five-minute theory section on deep learning almost made me close the tab. Felt like a badly pasted Wikipedia entry. I'm glad I skipped ahead. The exercise itself is the only thing that matters here. You get a notebook, connect your cluster, and run a distributed PyTorch job using TorchDistributor. That's it. It works. The code isn't complicated, but seeing the boilerplate for distributing training on Databricks is useful if you're stuck on their platform. It’s not teaching you deep learning; it’s showing you which button to press in Azure. For an hour of my time, that's a fair trade. I pulled the script for a project I'm fiddling with. I'll take it.

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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