Launch Studio Classic - Amazon SageMaker
Launch Studio Classic with Amazon Web Services Management ConsoleLaunch Studio Classic with IAM Identity Center
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Launch Studio Classic

Use your persona-focused roles to launch Studio Classic. If you are an administrator, you can give your users access to Studio Classic and have them assume their persona role either directly through the Amazon Web Services Management Console or through the Amazon IAM Identity Center.

Launch Studio Classic with Amazon Web Services Management Console

For data scientists or other users to assume their given persona through the Amazon Web Services Management Console, they require a console role to get to the Studio Classic environment.

You cannot use Amazon SageMaker Role Manager to create a role that grants permissions to the Amazon Web Services Management Console. However, after creating a service role in the role manager, you can go to the IAM console to edit the role and add a user access role. The following is an example of a role that provides user access to the Amazon Web Services Management Console:

{
    "Version": "2012-10-17",
    "Statement":
    [
        {
            "Sid": "DescribeCurrentDomain",
            "Effect": "Allow",
            "Action": "sagemaker:DescribeDomain",
            "Resource": "arn:aws:sagemaker:<REGION>:<ACCOUNT-ID>:domain/<STUDIO-DOMAIN-ID>"
        },
        {
            "Sid": "RemoveErrorMessagesFromConsole",
            "Effect": "Allow",
            "Action":
            [
                "servicecatalog:ListAcceptedPortfolioShares",
                "sagemaker:GetSagemakerServicecatalogPortfolioStatus",
                "sagemaker:ListModels",
                "sagemaker:ListTrainingJobs",
                "servicecatalog:ListPrincipalsForPortfolio",
                "sagemaker:ListNotebookInstances",
                "sagemaker:ListEndpoints"
            ],
            "Resource": "*"
        },
        {
            "Sid": "RequiredForAccess",
            "Effect": "Allow",
            "Action":
            [
                "sagemaker:ListDomains",
                "sagemaker:ListUserProfiles"
            ],
            "Resource": "*"
        },
        {
            "Sid": "CreatePresignedURLForAccessToDomain",
            "Effect": "Allow",
            "Action": "sagemaker:CreatePresignedDomainUrl",
            "Resource": "arn:aws:sagemaker:<REGION>:<ACCOUNT-ID>:user-profile/<STUDIO-DOMAIN-ID>/<PERSONA_NAME>"
        }
    ]
}

In the Studio Classic control panel, choose Add User to create a new user. In the General Settings section, give your user a name and set the Default execution role for the user to be the role that you created using Amazon SageMaker Role Manager.

On the next screen, choose the appropriate Jupyter Lab version, and whether to turn on SageMaker Jumpstart and SageMaker Project templates. Then choose Next. On the SageMaker Canvas settings page, choose whether to turn on SageMaker Canvas support, and additionally whether to allow for timeseries forecasting in SageMaker Canvas. Then choose Submit.

Your new user should now be visible in the Studio Classic control panel. To test this user, choose Studio from the Launch app dropdown list in the same row as the user’s name.

Launch Studio Classic with IAM Identity Center

To assign IAM Identity Center users to execution roles, the user must first exist in the IAM Identity Center directory. For more information, see Manage identities in IAM Identity Center in the Amazon IAM Identity Center.

Note

Your IAM Identity Center Authentication directory and Studio Classic domain must be in the same Amazon Web Services Region.

  1. To assign IAM Identity Center users to your Studio Classic domain, choose Assign users and Groups in the Studio Classic control panel. On the Assign users and groups screen select your data scientist user, and then choose Assign Users and Groups.

  2. After the user is added to the Studio Classic control panel, choose the user to open the user details screen.

  3. On the User details screen, choose Edit.

  4. On the Edit user profile screen, under General settings, modify the Default execution role to match the user execution role you’ve created for your data scientists.

  5. Choose Next through the rest of the settings pages, and choose Submit to save your changes.

When your data scientist or other user logs into the IAM Identity Center portal, they see a tile for this Studio Classic domain. Choosing that tile logs them into Studio Classic with their assigned user execution role.