Automate, Validate, and Promote ML Models Safely
by Coursera
Learn to automate, validate, and safely promote ML models in production. Detect data drift, implement monitoring, and ensure compliance with best practices.
Why this course
- Focuses on high-impact failure points like data drift and unmonitored retraining
- Teaches practical validation and monitoring techniques applicable in real production systems
- Covers essential MLOps concepts including canary rollouts and A/B testing
- Emphasizes governance and compliance, increasingly important in regulated industries
