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Turn the path into reviewable evidence with its scoped project milestones and explicit grading criteria.
Take a simple ML model out of a notebook and make it reproducible and tracked. Version the CODE in Git and the DATA with DVC (or equivalent), pin the...
Deploy a model as a service with automation and observability. Containerize a prediction API (FastAPI/BentoML), deploy it, and put it behind a CI/CD...
Build a production-shaped ML system that closes the loop. Include: (1) versioned data + a feature definition that serves the SAME features to training...