Get started
If you want to set up Amazon SageMaker for yourself as quickly as possible with no customization, follow the instructions in Quick setup for single users.
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Open the SageMaker console
and access the SageMaker applications from the left navigation pane. -
Using the quick setup gets you set up with a Amazon SageMaker domain without the need to learn the details of a domain. For information about the domain default settings, see Default settings.
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If you do not intend to customize your domain any further, you can skip this Get started chapter and begin exploring SageMaker ML environment products at Use machine learning environments offered by SageMaker.
If you want to set up Amazon SageMaker for many users or an organization with customization, use one of the following step-by-step guides with contextual help for advanced and enterprise Machine Learning (ML) administrators. Administrators of organizations can onboard their users or groups through authentication, using AWS Identity and Access Management (IAM) or AWS IAM Identity Center, define scoped-down access policies, manage SageMaker applications and configurations, and set up a VPC configuration.
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To set up a custom domain for users using IAM, see Custom onboarding to Amazon SageMaker domain using IAM.
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To set up a custom domain for groups using authentication in IAM Identity Center, see Custom onboarding to Amazon SageMaker domain using IAM Identity Center.
Note
If you intend to use the Amazon SageMaker Studio Lab ML environment or if an AWS account and Amazon SageMaker domain has already been set up for you, you can skip this Get started chapter and begin exploring SageMaker ML environment products at Use machine learning environments offered by SageMaker.
If a sign-in URL is provided to you, you can set up by following the instructions in Access the domain after onboarding.
After the domain is set up, the administrative user can View and edit domains and the users can access
the ML environments using the sign-in URL or opening the SageMaker console