AI

Learn what happens after a model is trained: wrapping it behind a serving layer, versioning it like code, and watching it for the slow decay that happens once real-world data starts hitting it. This is the fifth and final course in the Applied Machine Learning track, the capstone that turns a notebook experiment into a production system you can actually trust and maintain.

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