Amazon SageMaker AI is a fully managed machine learning service from Amazon Web Services that data scientists and developers use to build, train, and deploy models into a production-ready hosted environment. It provides managed infrastructure, tools, and workflows with enterprise-grade governance and security controls. Offered capabilities include the SageMaker Studio development environment, distributed training with HyperPod, JumpStart pretrained models, and serverless model customization and inference options.

The service was renamed from Amazon SageMaker as part of the next-generation Amazon SageMaker platform, where it remains the build, train, and deploy capability. Pricing is pay-as-you-go with no upfront commitments or minimum fees, metered on instance usage, storage, data processing, model deployment, and MLOps.