> ## Documentation Index
> Fetch the complete documentation index at: https://docs.paradime.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Run AWS SageMaker Pipeline

> Add a Run AWS SageMaker Pipeline command to a Paradime Bolt schedule to trigger ML pipelines from the Paradime CLI after your dbt™ models run.

Trigger one or more AWS SageMaker pipelines from a Bolt schedule to run machine learning workflows as part of your pipeline.

## Prerequisites

* AWS connected as a [workspace integration](/integrations/aws-sagemaker). AWS credentials are taken from that integration.

## Usage

Add the **Run AWS SageMaker Pipeline** command to your schedule and enter the command to run. The modal accepts any command supported by the [Paradime AWS SageMaker CLI](/developers/paradime-cli/aws-sagemaker-cli):

```bash theme={"system"}
paradime run aws-sagemaker-trigger --pipeline-names=my_pipeline
```

## Learn more

See the [Paradime AWS SageMaker CLI](/developers/paradime-cli/aws-sagemaker-cli) for the full command and flag reference.


## Related topics

- [AWS SageMaker](/integrations/aws-sagemaker.md)
- [AWS SageMaker CLI](/developers/paradime-cli/aws-sagemaker-cli.md)
- [Integrations](/integrations/index.md)
- [Commands](/products/bolt/creating-schedules/command-settings/index.md)
- [AWS Lambda](/integrations/aws-lambda.md)