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 tutorial has several pages:
Cleaning up your project.
Each page assumes that you have already performed the instructions from the previous pages of the tutorial.
Deleting Vertex AI resources
This section describes how delete the following project resources: endpoint, model, and dataset.
Deleting your endpoint
In the Google Cloud Console, in the Vertex AI section, go to the Endpoints page.
Click your endpoint to open its details page.
On the row for your model, click Undeploy model.
In the Undeploy model from endpoint dialog, click Undeploy.
1, Return to the Endpoints tab, and find your endpoint. Click View more.
- Click Remove endpoint and confirm the operation.
Deleting your model
In the Google Cloud Console, in the Vertex AI section, go to the Models page.
Find your model. On that row, click View more.
Click Delete model and confirm the operation.
Deleting your dataset
In the Google Cloud Console, in the Vertex AI section, go to the Datasets page.
Find your dataset. On that row, click View more.
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.