Configure Vertex AI in Application Design Center

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Vertex AI is a machine learning (ML) platform that lets you train and deploy ML models and AI applications. Vertex AI combines data engineering, data science, and ML engineering workflows, enabling team collaboration using a common toolset.

For more information, see Introduction to Vertex AI.

This document describes the parameters you can configure when using App Design Center to enable Vertex AI APIs.

Required configuration parameters

If your template includes a Vertex AI component, you must configure the following parameters before you deploy.

Parameter name	Description and constraints	Background information
Project ID	The project where you want to enable Vertex AI APIs.	Configure components

Optional configuration parameters

The following parameters are optional. To display advanced parameters, in the Configuration area, select Show advanced fields.

Feature	Parameter name	Description and constraint information	Background information
	Enable APIs	Enabled by default. To skip API enablement, clear the checkbox.	Set up a project and a development environment
	Activate APIs	By default, the Vertex AI API is activated. If you add other APIs in the Activate API Identities section, the additional APIs are appended to this list.	Service agents
Activate API Identities	API	An additional API that you want to activate. A service agent will be created for this API.	Service agents
	Roles	The roles that you want to grant to the service agent.	Service agent roles
	Disable Service on Destroy	By default, the service is disabled when the Terraform resource is destroyed.	disable_on_destroy
	Disable Service Dependent Services	By default, dependent service are disabled when the Terraform resource is destroyed.	disable_dependent_services