Automate, Validate, and Promote ML Models Safely

Did you know that over 50% of machine learning failures in production come from unmanaged data drift, unsafe rollouts, or unmonitored retraining pipelines? Automating your ML lifecycle is the key to keeping models both powerful and trustworthy. This short course was created to help ML and AI professionals operationalize machine learning systems with robust performance monitoring, governance compliance, and automated lifecycle management in production environments. By completing this course, you will be able to automate, validate, and safely promote machine learning models using CI/CD pipelin…