Module 1 : Introduction to Production Machine Learning Systems

Module 2: Digital Signal Processing

Module 3: Reproducible Packaging, Versioning, and Model Registries

Module 4: Model Serving Architectures and API Design

Module 5: Scalable Inference, Optimization, and Deployment Platforms

Module 6: Observability and Reliability Engineering for ML Services

Module 7

Module 8: Safe Rollouts, Incident Response, and Failure Re- covery

Module 9: Retraining Pipelines and Continuous Adaptation Loops

Module 10: Governance, Fairness, Auditability, and Emerging MLOps Trends