Deploying and Maintaining Production AI Systems

Most machine learning models fail in production not due to poor algorithms, but from inadequate deployment practices, unmonitored performance drift, and missing operational safeguards. This course equips you with the MLOps and site reliability engineering skills to deploy generative AI systems safely, automate model lifecycle management, and maintain peak performance in production environments. You will learn to orchestrate deployment workflows with canary releases and automated rollbacks, implement CI/CD pipelines with compliance checks and drift-triggered retraining, and design observabilit…