MLAI-workshop-resources

1. Login into Amazon SageMaker

2. Select a Region.

   Amazon SageMaker Studio is available in the following AWS Regions:

   • US East (Ohio), us-east-2
   • US East (N. Virginia), us-east-1
   • US West (N. Oregon), us-west-2
   • China (Beijing), cn-north-1
   • China (Ningxia), cn-northwest-1
   • EU (Ireland), eu-west-1

   To change the Region in the Amazon SageMaker console, use the Region selector at the upper-right corner of the console.

3. Choose Notebook instances, then choose Create notebook instance.

4. On the Create notebook instance page, provide the following information:

   • For Notebook instance name, type a name for your notebook instance.

   For Notebook instance type, choose ml.m4.4xlarge.

   • For IAM role, choose Create a new role. Amazon SageMaker creates an IAM role named AmazonSageMaker-ExecutionRole-YYYYMMDDTHHmmSS. The AWS managed policy AmazonSageMakerFullAccess is attached to the role. The role provides permissions that allow the notebook instance to call Amazon SageMaker and Amazon S3.

   • Choose Create notebook instance.

5. When the status of the notebook instance is InService, in the console, the notebook instance is ready to use. Choose Open Jupyter next to the notebook name to open the classic Jupyter dashboard.

You can choose Open JupyterLab to open the JupyterLab dashboard. The dashboard provides access to your notebook instance and sample Amazon SageMaker notebooks that contain complete code walkthroughs.