In this tutorial, learn how to configure your Amazon SageMaker Studio account with permissions required to access SageMaker APIs and features for automating ML workflows.
What you will learn
In this guide, you will:
- Attach the following three AWS IAM policies to your Amazon SageMaker Studio account to enable access to SageMaker APIs and features for automating ML workflows: AmazonSageMakerFullAccess, AWSCloudFormationFullAccess, and AmazonSageMakerPipelinesIntegrations
Before starting this guide, you will need:
- An AWS account: If you don't already have an account, follow the Setting Up Your Environment getting started guide for a quick overview.
- An Amazon SageMaker Studio domain and user: If you don't already have a SageMaker Studio domain, see Onboard to Amazon SageMaker Domain in the Amazon SageMaker developer guide.
In the SageMaker Studio Control Panel page, under the Users section, select your SageMaker Studio user name.
In the User Details page, under the Details pane, Execution role, highlight and copy only the text after arn:aws:iam::<your-account-id>:role/.
Congratulations! You have finished the Add permissions to your Amazon SageMaker Studio account for ML Workflows tutorial.
In this tutorial, you attached three AWS IAM policies to your SageMaker Studio account to provide your account access to SageMaker APIs and features for building ML workflows.
If you came to this page by choosing a link on another tutorial, you can now go back to that tutorial and continue where you left off.