ToolDix study guide · Course
MLOps Course
Made With ML · Goku Mohandas
An end-to-end course covering product design, data, modeling, testing, reproducibility, serving, observability, and CI/CD for machine-learning systems.
Start with the source
The original publisher hosts the complete material and the current terms of use.
How to use this resource
Why it matters
It integrates software, data, model, and product concerns into one production workflow rather than presenting deployment as a final notebook export.
First practical move
Run the setup and testing sections first, then define a reproducible baseline before tuning a model.
Good fit for
Developers and data scientists moving toward ML engineering
Source and publishing context
This page is an original ToolDix editorial guide. We do not reproduce the source's full article, course media, figures, or book pages. Official Made With ML course; follow its repository and content licenses for reuse.
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