The Wayback Machine - https://web.archive.org/web/20211020212136/https://docs.aws.amazon.com/sagemaker/latest/dg/studio.html
Amazon SageMaker Studio - Amazon SageMaker

Amazon SageMaker Studio

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning that lets you build, train, debug, deploy, and monitor your machine learning models. SageMaker Studio provides all the tools you need to take your models from experimentation to production while boosting your productivity. In a single unified visual interface, customers can perform the following tasks:

  • Write and execute code in Jupyter notebooks

  • Build and train machine learning models

  • Deploy the models and monitor the performance of their predictions

  • Track and debug the machine learning experiments

For information on the onboarding steps to sign in to SageMaker Studio, see Onboard to Amazon SageMaker Studio.

For the AWS Regions supported by SageMaker Studio, see Supported Regions and Quotas.

Topics