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A solid 40-minute tutorial to see how Azure handles MLflow models. It's a quick win and the sandbox environment is great, but don't expect to learn why things are done this way.
Decision summary
4.1/5 Last verified: August 31, 2026
Data science students needing a quick, hands-on intro to Azure model registry.
Covers only a tiny slice of the ML lifecycle.
Data science students needing a quick, hands-on intro to Azure model registry.
Anyone looking for a deep dive into MLflow or MLOps theory.
Running the `az ml model create` command in the sandbox terminal was the whole point. It worked. This is more of a 'how-to' than a 'course.' You won't learn much about MLflow itself, just the specific Azure command to register a model you've already trained. The sandbox is great—no credit card, no local setup. Useful, but very narrow. Took me maybe 30 minutes total.
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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