# Amazon Augmented AI

Amazon Augmented AI (Amazon A2I) enables you to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.

## Developer Guide

- [Developer Guide](https://docs.aws.amazon.com/sagemaker/latest/dg/use-augmented-ai-a2i-human-review-loops.html?icmpid=docs_a2i_lp): Provides a conceptual overview of Amazon A2I. Offers step-by-step instructions for using AI applications such as Amazon Rekognition, Amazon Textract, or your custom machine learning (ML) models to create workflows required for human review of ML predictions.

## API Reference

- [Amazon A2I Runtime Model](/augmented-ai/2019-11-07/APIReference/Welcome.html?icmpid=docs_a2i_lp): This API reference includes information about API actions and data types that you can use to interact with Amazon A2I programmatically.

## Tutorials and Samples

- [Using Amazon A2I with Amazon Textract](https://docs.aws.amazon.com/textract/latest/dg/a2i-textract.html?icmpid=docs_a2i_lp): Provides step-by-step instructions for using Amazon A2I with Amazon Textract.
- [Reviewing Unsafe Content with Amazon A2I Using Amazon Rekognition](https://docs.aws.amazon.com/rekognition/latest/dg/a2i-rekognition.html?icmpid=docs_a2i_lp): Provides step-by-step instructions for using Amazon A2I with Amazon Rekognition.
- [Crowd HTML Elements Reference](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-ui-template-reference.html?icmpid=docs_a2i_lp): Use HTML elements to create custom worker user interfaces (UIs) for your human review workflows.
- [Sample Task User Interfaces (UIs)](https://github.com/aws-samples/amazon-a2i-sample-task-uis?icmpid=docs_a2i_lp): A GitHub repository of example task UIs built using HTML crowd elements.
- [Jupyter Notebook Demos](https://github.com/aws-samples/amazon-a2i-sample-jupyter-notebooks?icmpid=docs_a2i_lp): A GitHub repository of example Jupyter Notebooks that demonstrate how to integrate Amazon A2I in machine learning workflows.

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## Related Links

- [AWS Glossary](http://docs.aws.amazon.com/general/latest/gr/glos-chap.html)
- [Getting Started with AWS](https://aws.amazon.com/documentation/gettingstarted/)
- [SDKs & Tools](https://aws.amazon.com/tools/)
- [AWS General Reference](http://docs.aws.amazon.com/general/latest/gr/Welcome.html)
- [AWS Training](https://aws.amazon.com/training/)
- [AWS Case Studies](https://aws.amazon.com/solutions/case-studies/)
- [AWS Whitepapers](https://aws.amazon.com/whitepapers/)