Use Amazon EC2 for scalable computing capacity in the AWS Cloud so you can develop and deploy applications without hardware constraints.

The following is an introduction to key components of Amazon EC2 and how a Windows instance compares to running Windows Server on premises.

Get started with Amazon EC2. Learn to launch, connect to, and use a Linux instance.

You can quickly remap an Elastic IP address from one instance to another to work around problems with your instance or software.

Amazon SageMaker smart sifting is a capability of SageMaker Training that helps improve the efficiency of training datasets and reduce total training time and cost.

Create, store, and share features with Amazon SageMaker Feature Store.

Amazon SageMaker Model Monitor continuously monitors the quality of Amazon SageMaker machine learning models in production.

RStudio on Amazon SageMaker is an integrated development environment for R with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.

Use Amazon SageMaker built-in algorithms.

Instructions and configuration information using Quick setup onboarding.