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

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

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

You can bring part or all of your publicly routable IPv4 or IPv6 address range from your on-premises network to your AWS account. You continue to control the address range and you can advertise the address range on the internet through AWS. After you bring the address range to AWS, it appears in your AWS account as an address pool.

Monitor scheduled events for your instances.

Launch an instance from an AMI using the launch instance wizard in the Amazon EC2 console.

Terminate your instance when you no longer need it and stop incurring charges for that instance.

You can use Amazon EC2 to create your key pairs, or you can use a third-party tool to create your key pairs, and then import them to Amazon EC2.

Use these instances for baseline performance and the ability to burst to higher performance as required by your workload.

Follow these guidelines when creating a shared Linux AMI.