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MLOps and experiment tracking: Data Science course | Zoonk

77. MLOps and experiment tracking

Covers experiment tracking, model registries, reproducible training runs, approval stages, and release management. Learners manage machine learning work as a controlled lifecycle rather than a pile of files.

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