Build, operationalize, deploy, and maintain machine learning (ML) solutions and pipelines by using the AWS Cloud

Ingest, transform, validate, and prepare data for ML modeling

Select general modeling approaches, train models, tune hyperparameters, analyze model performance, and manage model versions

Choose deployment infrastructure and endpoints, provision compute resources, and configure auto scaling based on requirements

Set up continuous integration and continuous delivery (CI/CD) pipelines to automate orchestration of ML workflows

Monitor models, data, and infrastructure to detect issues

Secure ML systems and resources through access controls, compliance features, and best practices