Create a Notebook Instance - Amazon SageMaker AI
Next Step

Create a Notebook Instance

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.

Create a Jupyter notebook that contains a pre-installed environment with the default Anaconda installation and Python3.

To create a Jupyter notebook

  1. Open the Amazon SageMaker AI console at https://console.aws.amazon.com/sagemaker/.

  2. Open a running notebook instance, by choosing Open next to its name. The Jupyter notebook server page appears:

    Example Jupyter notebook server page.

  3. To create a notebook, choose Files, New, and conda_python3. .

  4. Name the notebook.

Next Step

Get the Amazon SageMaker AI Boto 3 Client