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Last Updated: September 28, 2026
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Learn how to take your models from development to production using Python and Jupyter This video will teach you how to master AI/ML experiment tracking with MLflow, your "disciplined lab A model with great offline numbers that never reaches a real user is worth nothing — This video is your guide to mastering the AI/ML Model Registry, a crucial component for managing the lifecycle of your models. This video teaches you how to master the art of creating and managing project releases, a critical step for professional GitHub Repository: github.com/Parthsarthi-lab/day1_mlops # MLflow experiment tracking is how you turn a messy folder of Tired of starting every new ML project from scratch? This video shows you how
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