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Part 10 · AI Infrastructure & MLOps

Monitoring ML Models in Production

Data driftConcept driftFeedback loopsML system design

Models get worse while the code stays the same. Data and concept drift, feedback loops, and the shape of a real production ML system from data to serving.

⏱ 1-2 hours · Station 83 of 92

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← Previous stopModel Deployment and CI/CD for MLNext stop →Project: Train-to-Deploy ML Pipeline
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