Summary and Quiz on Secure ML Environments

Explore how SageMaker Studio unifies and secures the machine learning lifecycle. Understand containerized training, inference patterns, and advanced endpoint setups. Learn access control with IAM, encryption using KMS, network security with VPC, and automated CI/CD pipelines. Gain insights on monitoring and auditing ML systems with CloudTrail, CloudWatch, and Model Monitor to maintain compliance and detect anomalies.