MLOps and Deployment - Taking Models from Notebook to Production

Public lesson preview

Learn the full MLOps lifecycle: model registries, CI/CD for ML, containerisation, serving infrastructure, drift monitoring, and cost optimisation at scale.

Learning objectives

By the end of this lesson, you will understand:

• ✓Why Notebooks Are Not Production
• ✓The MLOps Lifecycle
• ✓Model Registries
• ✓CI/CD for Machine Learning
• ✓Containerisation for ML

Lesson outline

1. Why Notebooks Are Not Production
2. The MLOps Lifecycle
3. Model Registries
4. CI/CD for Machine Learning
5. Containerisation for ML
6. Serving Infrastructure
7. Monitoring Model Drift
8. Feature Stores
9. Batch vs Real-Time Inference
10. 📚 Further Reading