Amazon SageMaker Features

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

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Prepare Data

SageMaker Feature Store

Store, share, and manage features for machine learning models

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SageMaker Data Wrangler

Aggregate and prepare tabular and image data for machine learning in minutes

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Geospatial ML with SageMaker

Access geospatial, purpose-built processing operations, pretrained models, and built-in visualization tools for geospatial ML

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Build

SageMaker Notebooks

Explore and build machine learning models with fully managed notebooks

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SageMaker Jumpstart

Machine learning hub with foundation models, algorithms, and solutions deployable with just a few clicks

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SageMaker Studio Lab

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

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Train

SageMaker Model Training

Reduce the time and cost to train and tune models at scale without managing infrastructure

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SageMaker Experiments

Efficiently manage machine learning experiments

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SageMaker HyperPod

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

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Deploy

SageMaker Model Deployment

Deploy machine learning models to make predictions at the best price-performance for any use case

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SageMaker Pipelines

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

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SageMaker Edge

Easily operate machine learning models running on edge devices

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End-to-End ML

SageMaker MLOps

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

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SageMaker Canvas

Build highly accurate machine learning models using a visual interface, no code required

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SageMaker Studio

Perform ML development using a fully integrated development environment (IDE) for machine learning

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SageMaker Ground Truth

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

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ML Governance

ML Governance with SageMaker

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

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SageMaker Clarify

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

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Amazon SageMaker features availability by region

Use the overview chart to find out the AWS regions where SageMaker features are available

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Next steps

Pricing

Learn more about Amazon SageMaker Canvas pricing

Visit the pricing page

Console

Amazon SageMaker Features

Prepare Data

Store, share, and manage features for machine learning models

Aggregate and prepare tabular and image data for machine learning in minutes

Access geospatial, purpose-built processing operations, pretrained models, and built-in visualization tools for geospatial ML

Build

Explore and build machine learning models with fully managed notebooks

Machine learning hub with foundation models, algorithms, and solutions deployable with just a few clicks

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

Train

Reduce the time and cost to train and tune models at scale without managing infrastructure

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

Deploy machine learning models to make predictions at the best price-performance for any use case

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

Easily operate machine learning models running on edge devices

End-to-End ML

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

Build highly accurate machine learning models using a visual interface, no code required

Perform ML development using a fully integrated development environment (IDE) for machine learning

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

ML Governance

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

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

Amazon SageMaker features availability by region

Next steps

Learn more about Amazon SageMaker Canvas pricing

Get started building with Amazon SageMaker Canvas

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