# Amazon SageMaker AI Documentation

Amazon SageMaker AI is a fully managed machine learning service. With Amazon SageMaker AI, data scientists and developers can quickly build and train machine learning models, and then deploy them into a production-ready hosted environment.

## Automation and Environments

- [Get Started](/en_us/sagemaker/latest/dg/gs.html?icmpid=docs_sagemaker_lp): Onboard to the Amazon SageMaker AI role and domain.
- [Use Automated ML](/en_us/sagemaker/latest/dg/use-auto-ml.html?icmpid=docs_sagemaker_lp): Learn how to automate machine learning from start to finish.
- [Use Machine Learning Environments](/en_us/sagemaker/latest/dg/machine-learning-environments.html): Learn about machine learning environments that Amazon SageMaker AI offers.

## Work with Data

- [Label Data with a Human-in-the-loop](/en_us/sagemaker/latest/dg/data-label.html): Learn how to use a human-in-the-loop to help label data more accurately.
- [Prepare Data](/en_us/sagemaker/latest/dg/data-prep.html): Learn how to prepare data for machine learning.
- [Process Data](/en_us/sagemaker/latest/dg/processing-job.html): Learn how to process data for machine learning.
- [Create, Store, and Share Features](/en_us/sagemaker/latest/dg/feature-store.html): Learn how to create, store, and share extracted data signals (features) for machine learning.

## Work with Models

- [Train Models](/en_us/sagemaker/latest/dg/train-model.html): Learn how to train your machine learning models.
- [Deploy Models for Inference](/en_us/sagemaker/latest/dg/deploy-model.html): Learn how to deploy your machine learning models for inference.
- [Implement MLOps](/en_us/sagemaker/latest/dg/mlops.html): Learn how to implement machine learning operations on Amazon SageMaker AI.
- [Monitor Data and Model Quality](/en_us/sagemaker/latest/dg/model-monitor.html): Learn how to monitor data and model quality.
- [Use Docker Containers to Build Models](/en_us/sagemaker/latest/dg/docker-containers.html): Learn how to use Docker containers to build your machine learning models.

## Responsible AI

- [Detect Bias and Understand Explanations](/en_us/sagemaker/latest/dg/model-explainability.html): Learn how to detect bias and understand explanations in machine learning models.
- [Use Governance](/en_us/sagemaker/latest/dg/governance.html): Learn how to use governance to document and track model performance.
- [Configure Security in Amazon SageMaker AI](/en_us/sagemaker/latest/dg/security.html): Learn how to secure resources in Amazon SageMaker AI.

## Reference

- [API Reference](/en_us/sagemaker/latest/APIReference/Welcome.html?icmpid=docs_sagemaker_lp): Describes all of the API operations for Amazon SageMaker AI in detail.

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