Developing ML Solutions with Amazon SageMaker AI

Amazon SageMaker AI

Amazon SageMaker AI is a fully managed ML service. In a single unified visual interface, you can perform the following tasks:

• Collect and prepare data.
• Build and train machine learning models.
• Deploy the models and monitor the performance of their predictions.

The following diagrams introduce the various SageMaker AI features you can use in the machine learning lifecycle.

Amazon SageMaker AICopy Anchor Link

You can use Amazon SageMaker AI to perform all the steps, from data collection to model deployment, in an ML workflow.

SageMaker AI environments

Amazon SageMaker Studio is the recommended option to access SageMaker AI. It is a web-based UI that provides access to all SageMaker AI environments and resources.

1: Sagemaker Studio

This web-based interface gives access to all the actions you can use to develop ML applications, such as prepare data, train, deploy, and monitor models.

In the next lesson, you will learn about the different sources of Machine Learning models