Guides
These guides walk you through building real workflows from scratch. Each guide uses a complete example from the H2O Workflows repository, explains every section of the YAML, and shows you how to deploy the workflow using the Python SDK.
Prerequisites
- Access to H2O AI Cloud (see Access H2O Workflows).
- Python SDK installed:
pip install h2o-workflows.
Available guides
- Simple Pipeline — Build a three-job data pipeline with inputs, scheduled triggers, and environment variables.
- Matrix Data Processing — Process data across multiple regions and data types in parallel using matrix jobs.
- Reusable Workflow — Create a callable workflow that other workflows can invoke, with secret management and error handling.
Feedback
- Submit and view feedback for this page
- Send feedback about H2O Workflows to cloud-feedback@h2o.ai