📡 Operations & Monitoring

Keep your models healthy in production. Detect drift, version datasets, and automate retraining to close the MLOps loop.

1 Guide

The final step in the MLOps lifecycle — operating and monitoring models in production.

Operations & Monitoring

Data Drift, Model Decay, and Dataset Versioning

Learn the three types of drift (feature, label, prediction), implement KS tests and PSI scores for detection, generate automated reports with Evidently AI, version datasets with DVC, and wire up Airflow to automatically trigger retraining when drift is detected.

Intermediate · 45 min

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