Important
Custom IAM policies that allow Amazon SageMaker Studio or Amazon SageMaker Studio Classic to create Amazon SageMaker resources must also grant permissions to add tags to those resources. The permission to add tags to resources is required because Studio and Studio Classic automatically tag any resources they create. If an IAM policy allows Studio and Studio Classic to create resources but does not allow tagging, "AccessDenied" errors can occur when trying to create resources. For more information, see Provide permissions for tagging SageMaker AI resources.
AWS managed policies for Amazon SageMaker AI that give permissions to create SageMaker resources already include permissions to add tags while creating those resources.
To access your Amazon SageMaker notebook instances, choose one of the following options:
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Use the console.
Choose Notebook instances. The console displays a list of notebook instances in your account. To open a notebook instance with a standard Jupyter interface, choose Open Jupyter for that instance. To open a notebook instance with a JupyterLab interface, choose Open JupyterLab for that instance.
The console uses your sign-in credentials to send a
CreatePresignedNotebookInstanceUrlAPI request to SageMaker AI. SageMaker AI returns the URL for your notebook instance, and the console opens the URL in another browser tab and displays the Jupyter notebook dashboard.Note
The URL that you get from a call to
CreatePresignedNotebookInstanceUrlis valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS Management Console sign-in page. -
Use the API.
To get the URL for the notebook instance, call the
CreatePresignedNotebookInstanceUrlAPI and use the URL that the API returns to open the notebook instance.
Use the Jupyter notebook dashboard to create and manage notebooks and to write code.
For more information about Jupyter notebooks, see http://jupyter.org/documentation.html
