Learn about Amazon Augmented AI (A2I), a service for augmenting AI application labeling with human review loops to boost confidence in datasets.

Learn how to use shared spaces for collaboration between all users in a SageMaker domain.

RStudio on Amazon SageMaker is an integrated development environment for R with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.

Learn how to use Jupyter AI in SageMaker.

Use Amazon SageMaker Model Card to document critical details about your machine learning (ML) models for governance and reporting.

Instructions and configuration information using Quick setup onboarding.

Select the JupyterLab version to use for an Amazon SageMaker Studio instance.

Learn how Code Editor, based on Code-OSS, Visual Studio Code - Open Source supports writing, testing, debugging, and running your analytics and machine learning code.

Create, store, and share features with Amazon SageMaker Feature Store.

Use Amazon SageMaker built-in algorithms.