Automated Deployment Using SageMaker and CodePipeline – Promoting and Serving the Best Model

After evaluating and approving a model based on performance, the next step is to register it, deploy it to production, and ensure this entire process is automated within CodePipeline. In this part, you will use the SageMaker Model Registry to track and manage model versions, create endpoint configurations, and update live endpoints—all without manual intervention. You’ll also integrate this logic into your CI/CD pipeline using Lambda functions, CodeBuild, or Step Functions to streamline model promotion.