Posted On: Feb 15, 2021
Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare, build, train and tune, deploy and manage models. Starting today, you can now automate the process of creating SageMaker Studio domains and adding user profiles using Amazon Web Services CloudFormation.
You can now use CloudFormation code templates to model the infrastructure set up for SageMaker Studio and configure its access for data scientists and developers in your organization. This way you can set up SageMaker Studio quickly and consistently, enabling you to apply DevOps best practices and meet safety, compliance, and configuration standards across Amazon Web Services accounts and regions.
The feature is now available in both Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD. To get started with CloudFormation for SageMaker Studio, see the CloudFormation user guide. To learn more about SageMaker Studio visit the SageMaker user guide.