Amazon SageMaker AI Projects now supports custom template S3 provisioning

Amazon SageMaker AI Projects Update

Amazon SageMaker AI Projects now supports provisioning custom machine learning (ML) project templates from Amazon S3. Administrators can manage ML templates in SageMaker AI Studio, enabling data scientists to create standardized ML projects that meet organizational needs.

Data scientists can use Amazon SageMaker AI Projects to create standardized ML projects that meet organizational requirements and automate ML development workflows. Administrators can define standardized ML project templates that include end-to-end development patterns. By provisioning custom templates from Amazon S3, administrators can define standardized project templates and provide access to these templates directly in the SageMaker AI Studio for data scientists, ensuring all ML projects follow organizational standards.

What to do

• Define standardized ML project templates in Amazon S3.
• Provision custom templates in SageMaker AI Studio.
• Ensure all ML projects follow organizational standards.

SageMaker AI Projects custom template S3 provisioning is available in all AWS Regions where SageMaker AI Projects is available.

Source: AWS release notes