Clean up the Google Cloud resources that you created during this tutorial. Follow these steps to avoid incurring unexpected charges.
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 AI Platform (Unified) resources
This section describes how to delete the following project resources: endpoint, model, dataset, and Cloud Storage bucket.
Deleting your endpoint
In the Google Cloud Console, in the AI Platform (Unified) section, go to the Endpoints page.
Find your endpoint, click View more. Then click Remove endpoint.
In the Remove endpoint dialog, click Confirm.
Deleting your model
In the Google Cloud Console, in the AI Platform (Unified) section, go to the Models page.
Find your model, click View more. Then click Delete model.
In the Delete model dialog, click Delete.
Deleting your dataset
In the Google Cloud Console, in the AI Platform (Unified) section, go to the Datasets page.
Find your dataset, click View more. Then click Delete dataset.
Cleaning up your Cloud Shell session
Cloud Shell incurs no charges, and it automatically deletes your home disk after a period of inactivity.
Deleting your Cloud Storage bucket
In your Cloud Shell session, run the following command:
gsutil -m rm -rf gs://BUCKET_NAME
Replace BUCKET_NAME with the name of the Cloud Storage bucket that you created when you setup your project.
To learn about additional ways to train ML models on AI Platform (Unified), try one of the other AI Platform (Unified) tutorials.