Module 10
Production & MLOps
The difference between a notebook and a product. Employers pay for this part, and most self-taught candidates skip it.
11 topics ~55 h estimated learning time
Comes after05. Classical Machine Learning
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- 10.1 From notebook to package
Core · 5 h
- 10.2 Experiment tracking
Core · 4 h
- 10.3 Data and model versioning
Core · 4 h
- 10.4 Serving models
Core · 6 h
- 10.5 Docker and reproducible environments
Core · 5 h
- 10.6 CI/CD for machine learning
Advanced · 5 h
- 10.7 Cloud fundamentals and cost
Core · 6 h
- 10.8 Monitoring, drift and retraining
Advanced · 6 h
- 10.9 Data pipelines and feature stores
Advanced · 4 h
- 10.10 Scaling inference
Advanced · 5 h
- 10.11 Responsible AI and Indian data law
Core · 5 h