# Classic UI documentation

> Classic UI documentation - Learn every aspect of the DataRobot workflow, from importing data to
> deploying and managing models.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.545887+00:00` (UTC).

## Primary page

- [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Full documentation for this topic (HTML).

## Sections on this page

- [Data](https://docs.datarobot.com/en/docs/classic-ui/index.html#data): In-page section heading.
- [Modeling](https://docs.datarobot.com/en/docs/classic-ui/index.html#modeling): In-page section heading.
- [Predictions](https://docs.datarobot.com/en/docs/classic-ui/index.html#predictions): In-page section heading.
- [MLOps](https://docs.datarobot.com/en/docs/classic-ui/index.html#mlops): In-page section heading.
- [DataRobot Notebooks](https://docs.datarobot.com/en/docs/classic-ui/index.html#datarobot-notebooks): In-page section heading.
- [Applications](https://docs.datarobot.com/en/docs/classic-ui/index.html#applications): In-page section heading.

## Related documentation

- [Data](https://docs.datarobot.com/en/docs/classic-ui/data/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/index.html): Linked from this page.
- [Predictions](https://docs.datarobot.com/en/docs/classic-ui/predictions/index.html): Linked from this page.
- [MLOps](https://docs.datarobot.com/en/docs/classic-ui/mlops/index.html): Linked from this page.
- [DataRobot Notebooks](https://docs.datarobot.com/en/docs/classic-ui/dr-notebooks/index.html): Linked from this page.
- [Applications](https://docs.datarobot.com/en/docs/classic-ui/app-builder/index.html): Linked from this page.

## Documentation content

# Classic UI documentation

Learn every aspect of the classic DataRobot workflow, from importing data to deploying and managing models.

- Data¶ Ingest, transform, and store your data for modeling.
- Modeling¶ Build, compare, and manage models.
- Predictions¶ Make predictions with the UI or API.
- MLOps¶ Deploy, monitor, manage, and govern models in production.
- DataRobot Notebooks¶ Create interactive and executable computing documents.
- Applications¶ Configure AI-powered applications and enable core DataRobot services.