Use resource tags in your IAM policies to control access to your EC2 resources.

Because your instance metadata is available from your running instance, you do not need to use the Amazon EC2 console or the AWS CLI. This can be helpful when you're writing scripts to run from your instance. For example, you can access the local IP address of your instance from instance metadata to manage a connection to an external application.

Diagnose and troubleshoot possible issues with your Amazon EC2 Windows instances.

List and filter your different AWS resources.

Create IAM policies to enable users to tag Amazon EC2 resources on creation.

Troubleshoot issues when your instance fails a status check.

Discusses the different input modes and AWS cloud storage for accessing the training dataset.

Inference recommendation and load balancing testing with Amazon SageMaker Inference Recommender.

Use Data Wrangler to import your data, run transformations on it, analyze it, and export the results,

Debug training jobs in real time, detect non-converging conditions, improve model performance using Amazon SageMaker Debugger.