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Getting Started with Amazon SageMaker

Getting started with Amazon SageMaker

Machine Learning Tutorials

Follow along the hands-on tutorials to learn how to use Amazon SageMaker to accomplish various machine learning lifecycle tasks, including data preparation, training, deployment, and MLOps.

Data Scientists: Develop ML models using code

TUTORIAL

Label training data for ML

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TUTORIAL

Build an ML model locally

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TUTORIAL

Train an ML model

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Data Scientists: Low-code ML

TUTORIAL

Prepare training data for ML with minimal code

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TUTORIAL

Get started quickly using SageMaker JumpStart

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TUTORIAL

Automatically create an ML model

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ML Engineers: MLOps

TUTORIAL

Deploy a trained model to production for inference

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TUTORIAL

Automate end-to-end ML workflows

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DEMO

Dive deep into automating MLOps

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Business Analysts: No-code ML

TUTORIAL

Generate predictions without writing code using SageMaker Canvas

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Next steps

Learn more about Amazon SageMaker pricing

Visit the pricing page

Get started building with Amazon SageMaker in the AWS Management Console