> ## 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.

# AWS SageMaker

> Trigger AWS SageMaker Pipelines from Paradime Bolt schedules and the CLI so you can orchestrate machine learning workflows alongside your dbt runs.

[AWS SageMaker](https://aws.amazon.com/sagemaker/) is a fully managed service for building, training, and deploying machine learning models. Trigger AWS SageMaker Pipelines as part of your Paradime Bolt schedules using the Paradime CLI.

## What you can do

* Trigger one or more SageMaker Pipeline executions from a Bolt schedule
* List available SageMaker Pipelines with their status

## Prerequisites

* AWS credentials: `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION`, and optionally `AWS_SESSION_TOKEN` for temporary credentials

## Trigger from Bolt

Set your credentials as [environment variables](/products/settings/environment-variables/bolt-schedule-env-variables) on your Bolt schedule, then run the command as part of the schedule.

See the full command reference, flags, and examples in the [AWS SageMaker CLI](/developers/paradime-cli/aws-sagemaker-cli) documentation.


## Related topics

- [AWS SageMaker CLI](/developers/paradime-cli/aws-sagemaker-cli.md)
- [AWS ECS](/integrations/aws-ecs.md)
- [AWS Glue](/integrations/aws-glue.md)
- [AWS Lambda](/integrations/aws-lambda.md)
- [AWS Lambda CLI](/developers/paradime-cli/aws-lambda-cli.md)