What you will learn

• Reliable MLOps depends on systematic diagnosis: performance issues are solved by log analysis and pipeline investigation, not guesswork.

• Governance must be automated into deployment—responsible AI needs CI/CD checks for fairness, explainability, and safe rollbacks, not manual reviews.

• Adaptive systems need intelligent automation—production models should monitor drift and trigger retraining automatically to stay accurate.

• Operational excellence requires end-to-end visibility, strong monitoring, versioning and audit trails enable fast debugging and long-term reliability