datarekha
Section 3 chapters · 10 lessons

MLOps

The lifecycle, Docker, CI/CD, MLflow, FastAPI/BentoML serving, monitoring, and the incident-response playbook the textbook skips.

  1. 01

    Lifecycle

    3 lessons
  2. 01 The real ML lifecycle Beginner 5 min
  3. 02 Establishing baselines Beginner 5 min
  4. 03 Data-centric AI Intermediate 6 min
  5. 02

    Tooling

    3 lessons
  6. 04 MLflow experiment tracking Intermediate 7 min
  7. 05 Docker for ML Intermediate 7 min
  8. 06 CI/CD with GitHub Actions Intermediate 6 min
  9. 03

    Serving & Monitoring

    4 lessons
  10. 07 Serving with FastAPI Intermediate 8 min
  11. 08 BentoML & Ray Serve Advanced 7 min
  12. 09 Drift & monitoring Advanced 7 min
  13. 10 Incident response Advanced 6 min
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