Recommendations for a first-time user of Amazon SageMaker AI

Overview of machine learning with Amazon SageMaker AI – Get an overview of the machine learning (ML) lifecycle and learn about solutions that are offered. This page explains key concepts and describes the core components involved in building AI solutions with SageMaker AI.

Guide to getting set up with Amazon SageMaker AI – Learn how to set up and use SageMaker AI based on your needs.

Automated ML, no-code, or low-code – Learn about low-code and no-code ML options that simplify a ML workflow by automating machine learning tasks. These options are helpful ML learning tools because they provide visibility into the code by generating notebooks for each of the automated ML tasks.

Machine learning environments offered by Amazon SageMaker AI – Familiarize yourself with the ML environments that you can use to develop your ML workflow, such as information and examples about ready-to-use and custom models.

Explore other topics – Use the SageMaker AI Developer Guide's table of contents to explore more topics. For example, you can find information about ML lifecycle stages, in Overview of machine learning with Amazon SageMaker AI, and various solutions that SageMaker AI offers.

Amazon SageMaker AI resources – Refer to the various developer resources that SageMaker AI offers.