Getting started with Amazon SageMaker AI

Machine Learning Tutorials

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

Data Scientists: Develop ML models using code

Tutorial

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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Video

Dive deep into automating MLOps

Watch demo

Build FMs from scratch

SageMaker AI offers tools to pretrain FMs from scratch so they can be used internally or offered to other businesses for generative AI applications.

Customize FMs with advanced techniques

SageMaker AI provides access to hundreds of publicly available FMs and tools to evaluate and fully customize models for your specific use case and data.