Create a Notebook Instance - Amazon SageMaker
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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).

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 Resources.

Amazon Managed Policies for Amazon SageMaker 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 console at https://console.amazonaws.cn/sagemaker/.

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

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

  4. Name the notebook.

Next Step

Get the Amazon SageMaker Boto 3 Client