# Amazon SageMaker AI Reference
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This chapter provides reference material for Amazon SageMaker AI. This includes references for interacting with SageMaker AI programmatically, SageMaker images, and AWS SDK for Python (Boto3) troubleshooting. 

**Topics**
+ [Machine Learning Frameworks and Languages](frameworks.md)
+ [API Reference](api-and-sdk-reference.md)
+ [Document History for Amazon SageMaker AI](doc-history.md)
+ [SageMaker Python SDK Troubleshooting Guide](sagemaker-python-sdk-troubleshooting.md)
+ [Docker Registry Paths and Example Code](https://docs.aws.amazon.com/sagemaker/latest/dg-ecr-paths/sagemaker-algo-docker-registry-paths.html)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon SageMaker. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query sagemaker` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).