Secure CI/CD for Models

This lesson explores secure CI/CD practices for machine learning models and AI systems. Learners will examine how organizations automate model development, testing, validation, approval, and deployment while maintaining strong security controls. The lesson covers MLOps pipelines, artifact verification, policy enforcement, automated testing, model promotion workflows, deployment governance, and supply chain protections that help ensure AI models reach production environments safely and securely.