Launching an Amazon SageMaker notebook instance

To launch an AWS DeepComposer GitHub-based project, use an SageMaker notebook instance. A SageMaker notebook instance is a machine learning (ML) compute instance that runs the Jupyter Notebook App. SageMaker manages creating the instance and all of the resources required to use it. Jupyter notebooks are open-source web applications that you can use to create and share documents that contain live code, equations, visualizations, and instructive text. Use Jupyter notebooks in your notebook instance to prepare and process data, write code to train models, deploy models to SageMaker, and test or validate your models.

Note

To use the AWS DeepComposer console and other AWS services, you need an AWS account. If you don't have an account, go to aws.amazon.com and choose Create an AWS Account. For detailed instructions, see Create and Activate an AWS Account.

For your daily administrative tasks, grant administrative access to an administrative user in AWS IAM Identity Center. For instructions, see Getting started in the AWS IAM Identity Center User Guide.

Topics

• Request a Service limit increase for use with a Amazon SageMaker Notebook Instance
• Create a SageMaker notebook instance and launch a Jupyter notebook