| ################## | |
| AWS Step Functions | |
| ################## | |
| Orchestrate your SageMaker training and inference jobs with `AWS Step Functions <https://docs.aws.amazon.com/step-functions/latest/dg/welcome.html>`__. | |
| You can use the `AWS Step Functions Python SDK <https://aws-step-functions-data-science-sdk.readthedocs.io/en/stable/>`__ to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. | |
| You can create multi-step machine learning workflows in Python that orchestrate AWS infrastructure at scale, | |
| without having to provision and integrate the AWS services separately. | |
| The AWS Step Functions Python SDK uses the SageMaker Python SDK as a dependency. | |
| To get started with step functions, try the workshop or visit the SDK's website: | |
| * `Workshop on using AWS Step Functions with SageMaker <https://www.sagemakerworkshop.com/step/>`__ | |
| * `AWS Step Functions Python SDK website <https://aws-step-functions-data-science-sdk.readthedocs.io/en/stable/>`__ | |