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Hello tabular data: Clean up your project | Vertex AI

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Clean up the Google Cloud resources that you created during this tutorial. Follow these steps to avoid incurring unexpected charges from some of the resources.

This section describes how delete the following project resources: endpoint, model, and dataset.

1. In the Google Cloud console, in the Vertex AI section, go to the Endpoints page.

   Go to the Endpoints page

2. Click your endpoint to open its details page.

3. On the row for your model, click Undeploy model delete.

4. In the Undeploy model from endpoint dialog, click Undeploy.

5. Return to the Endpoints tab, and find your endpoint. Click View more more_vert.

6. Click Remove endpoint and confirm the operation.

1. In the Google Cloud console, in the Vertex AI section, go to the Models page.

   Go to the Models page

2. Find your model. On that row, click View more more_vert.

3. Click Delete model and confirm the operation.

1. In the Google Cloud console, in the Vertex AI section, go to the Datasets page.

   Go to the Datasets page

2. Find your dataset. On that row, click View more more_vert.

3. Click Delete dataset.

• To learn about additional ways to train ML models on Vertex AI, try one of the other Vertex AI tutorials.

• Read an overview of how Vertex AI works.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-07 UTC.

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