Chapter 13: ML Systems and Production
Chapter Overview
Deploy & serve models · MLOps · Monitoring & scaling
Sections
1
ML System Design
End-to-end architecture
2
Data Infrastructure
Pipelines, feature stores, versioning
3
Model Development
Building, debugging, benchmarking
4
Deployment & Serving
Optimization, frameworks, strategies
5
MLOps
CI/CD, pipelines, reproducibility
6
Monitoring & Observability
Drift, alerting, A/B testing
7
Infrastructure & Cloud
Hardware, scaling, cloud platforms
8
AI Engineering with Foundation Models
LLM apps, RAG, evaluation
9
Nice to Know
Federated learning, on-device ML, more