OPS-02 · Advanced
MLOps: deploying and running machine learning models
Getting models into production and keeping them healthy: experiment tracking and registries, serving patterns, deployment strategies, monitoring, drift and retraining, and managed ML platforms.
- Self-study hours
- 38
- Class hours
- 24 (10 at beginner depth)
- Lessons
- 11
- Free certifications
- 1
- Library resources
- 6
✓ All 11 lessons expert reviewed
What you will be able to do
- Track, register and version models with MLflow
- Choose a serving pattern and a deployment strategy, and roll back safely
- Monitor a live model for drift and retrain it on a schedule or trigger
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