Create your own AMI from a customized Amazon EBS-backed Linux instance.

Connect to your Linux instances and transfer files to and from your Windows local machine.

SageMaker Distribution is a collection of Docker images, which includes popular libraries and packages for machine learning, data science, and data analytics visualization. The Docker images include deep learning frameworks such as the following:

Amazon SageMaker Studio Classic is an integrated machine learning environment where you can build, train, deploy, and analyze your models all in the same application.

Describes how you can track the lineage of machine learning workflows.

Fine-tune foundation models on your data to get responses that are customized to your use case.

Learn how to use the @step decorator to convert local code to pipeline steps.

Using SageMaker for large model inference.

Learn how to evaluate a text-based foundation model by using SageMaker Clarify

Automatically build, train, tune, and deploy models using Autopilot.