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An Amazon SageMaker notebook instance is a fully managed ML compute instance running the Jupyter Notebook App. Amazon SageMaker manages creating the instance and related resources. Use Jupyter notebooks in your notebook instance to prepare and process data, write code to train models, deploy models to Amazon SageMaker hosting, and test or validate your models.

Topics + Create a Notebook Instance + Access Notebook Instances + Customize a Notebook Instance + Use Example Notebooks + Set the Notebook Kernel + Install External Libraries and Kernels in Notebook Instances + Associate Git Repositories with Amazon SageMaker Notebook Instances + Get Notebook Instance Metadata