Amazon SageMaker AI

Amazon SageMaker AI Features

Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows

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End of Support Notice

Amazon SageMaker AI features (Mechanical Turk, Ground Truth, Augmented AI, Studio Lab, Model Monitor, Clarify, Debugger, Role Manager, Geospatial, and Profiler) will no longer be open to new customers starting on July 30, 2026. If you would like to use these features, please sign up prior to July 30, 2026. AWS has also discontinued support for SageMaker Ground Plus on June 30, 2026. For capabilities similar to these Amazon SageMaker AI features, learn more here.

Note: This does not impact the availability of other Amazon SageMaker AI features.

Amazon SageMaker AI Features

End of Support Notice

Prepare Data

Store, share, and manage features for machine learning models

Reduce data prep time from weeks to minutes

Build

Explore and build machine learning models with fully managed notebooks

Machine learning hub with foundation models, algorithms, and solutions

Perform ML development using a fully integrated development environment

Learn and experiment with machine learning quickly with notebooks in your browser

Build ML models using a visual interface, no code required

Apply human feedback across the machine learning lifecycle to create high-quality models

Automatically create ML models with full visibility

Train

Train ML models quickly and cost effectively

Efficiently manage machine learning experiments

Reduce time to train foundation models by up to 40% with a purpose-built infrastructure for distributed training at scale

Deploy

Easily deploy and manage ML models for inference

Easily operate machine learning models running on edge devices

MLOps and ML Governance

Simplify access control and enhance transparency with purpose-build machine learning governance tools

Deliver high-performance ML models at scale with tools to automate processes across the ML lifecycle

Detect bias in data and machine learning models, and explain model predictions

Create end-to-end machine learning workflows with purpose-built CI/CD tools

Amazon SageMaker AI features availability by region

Next steps

Learn more about SageMaker AI pricing and request a quote

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