What is MLOps in AWS and how is it implemented?

MLOps in AWS is the practice of automating ML lifecycle using services like SageMaker, CI/CD, and monitoring tools.

AWS MLOps combines SageMaker Pipelines, CodePipeline, Lambda, and CloudWatch to automate training, validation, deployment, and monitoring. It ensures reproducibility, scalability, and continuous delivery of ML models.