The AI Platform - Prediction task lets you create and submit a Batch prediction job to the Cloud AI Platform Prediction service. Use the Batch prediction service when you don't need your predictions right away, or when you have many instances to get predict. AI Platform Prediction only supports getting Batch predictions from TensorFlow models.
AI Platform Prediction is a Google Cloud service that allows you to serve predictions based on a trained model, whether or not the model was trained on AI Platform.
Before you begin
Ensure that you perform the following tasks in your Google Cloud project before configuring the AI Platform - Prediction task:
Enable the Platform Training & Prediction API (ml.googleapis.com).
Create an authentication profile. Application Integration uses an authentication profile to connect to an authentication endpoint for the AI Platform - Prediction task.
Configure the AI Platform - Prediction task
In the Google Cloud console, go to the Application Integration page.
The Integrations page appears listing all the integrations available in the Google Cloud project.
Select an existing integration or click Create integration to create a new one.
If you are creating a new integration:
Enter a name and description in the Create Integration pane.
Select a region for the integration.
Select a service account for the integration. You can change or update the service account details of an integration any time from the infoIntegration summary pane in the integration toolbar.
Click Create. The newly created integration opens in the integration editor.
In the integration editor navigation bar, click Tasks to view the list of available tasks and connectors.
Click and place the AI Platform - Prediction element in the integration editor.
Click the AI Platform - Prediction element on the designer to view the AI Platform - Prediction task configuration pane.
Go to Authentication, and select an existing authentication profile that you want to use.
Optional. If you have not created an authentication profile prior to configuring the task, Click + New authentication profile and follow the steps as mentioned in Create a new authentication profile.
Go to Task Input, and configure the displayed inputs fields using the following Task input parameters table.
Changes to the inputs fields are saved automatically.
Task input parameters
The following table describes the input parameters of the AI Platform - Prediction task:
Property
Data type
Description
Region
String
Region where you want to run the prediction job. For example, us-central1.
The AI Platform - Prediction task returns the newly created instance of the job.
Error handling strategy
An error handling strategy for a task specifies the action to take if the task fails due to a temporary error. For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see Error handling strategies.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-26 UTC."],[[["\u003cp\u003eThe AI Platform - Prediction task enables the creation and submission of Batch prediction jobs to the Cloud AI Platform Prediction service, which is useful when predictions are not needed immediately or when processing numerous instances.\u003c/p\u003e\n"],["\u003cp\u003eBefore configuring the AI Platform - Prediction task, users must enable the Platform Training & Prediction API and create an authentication profile with the required \u003ccode\u003eml.jobs.create\u003c/code\u003e IAM permission.\u003c/p\u003e\n"],["\u003cp\u003eConfiguration of the AI Platform - Prediction task involves selecting or creating an authentication profile and defining input parameters such as Region, ProjectsId, and Request in the task configuration pane.\u003c/p\u003e\n"],["\u003cp\u003eThe task input parameters are used to designate the region for running the job, the google cloud project ID and the JSON request structure for the prediction.\u003c/p\u003e\n"],["\u003cp\u003eThe output of the AI Platform - Prediction task is a new instance of the prediction job, with options to implement error handling strategies and to review the available quotas and limits.\u003c/p\u003e\n"]]],[],null,["# AI Platform - Prediction task\n\nSee the [supported connectors](/integration-connectors/docs/connector-reference-overview) for Application Integration.\n\nAI Platform - Prediction task\n=============================\n\n|\n| **Preview**\n|\n|\n| This feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nThe **AI Platform - Prediction** task lets you create and submit a Batch prediction job to the Cloud AI Platform Prediction service. Use the Batch prediction service when you don't need your predictions right away, or when you have many instances to get predict. AI Platform Prediction only supports getting Batch predictions from TensorFlow models.\n\n[AI Platform Prediction](/ai-platform/docs/technical-overview) is a Google Cloud service that allows you to serve predictions based on a trained model, whether or not the model was trained on AI Platform.\n\nBefore you begin\n----------------\n\nEnsure that you perform the following tasks in your Google Cloud project before configuring the **AI Platform - Prediction** task:\n\n1. Enable the Platform Training \\& Prediction API (`ml.googleapis.com`).\n\n\n [Enable the Platform Training \\& Prediction API](https://console.cloud.google.com/flows/enableapi?apiid=ml.googleapis.com)\n2. Create an [authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile). Application Integration uses an authentication profile to connect to an authentication endpoint for the **AI Platform - Prediction** task. **Note:** If you're creating an authentication profile of [Service account](/application-integration/docs/configure-authentication-profiles#service-account) type, then ensure that the service account is assigned with the IAM role that contains the following IAM permission(s):\n | - `ml.jobs.create`\n |\n | To know about IAM permissions and the predefined IAM roles that grant them, see [IAM permissions reference](/iam/docs/permissions-reference#search).\n |\n | For information about granting additional roles or permissions to a service account, see [Granting, changing, and revoking access](/iam/docs/granting-changing-revoking-access).\n\nConfigure the AI Platform - Prediction task\n-------------------------------------------\n\n1. In the Google Cloud console, go to the **Application Integration** page.\n\n [Go to Application Integration](https://console.cloud.google.com/integrations)\n2. In the navigation menu, click **Integrations** .\n\n\n The **Integrations** page appears listing all the integrations available in the Google Cloud project.\n3. Select an existing integration or click **Create integration** to create a new one.\n\n\n If you are creating a new integration:\n 1. Enter a name and description in the **Create Integration** pane.\n 2. Select a region for the integration. **Note:** The **Regions** dropdown only lists the regions provisioned in your Google Cloud project. To provision a new region, click **Enable Region** . See [Enable new region](/application-integration/docs/enable-new-region) for more information.\n 3. Select a service account for the integration. You can change or update the service account details of an integration any time from the info **Integration summary** pane in the integration toolbar. **Note:** The option to select a service account is displayed only if you have enabled integration governance for the selected region.\n 4. Click **Create** . The newly created integration opens in the *integration editor*.\n\n\n4. In the *integration editor* navigation bar, click **Tasks** to view the list of available tasks and connectors.\n5. Click and place the **AI Platform - Prediction** element in the integration editor.\n6. Click the **AI Platform - Prediction** element on the designer to view the **AI Platform - Prediction** task configuration pane.\n7. Go to **Authentication** , and select an existing authentication profile that you want to use.\n\n Optional. If you have not created an authentication profile prior to configuring the task, Click **+ New authentication profile** and follow the steps as mentioned in [Create a new authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile).\n8. Go to **Task Input** , and configure the displayed inputs fields using the following [Task input parameters](#params) table.\n\n Changes to the inputs fields are saved automatically.\n\nTask input parameters\n---------------------\n\n\nThe following table describes the input parameters of the **AI Platform - Prediction** task:\n\nTask output\n-----------\n\nThe **AI Platform - Prediction** task returns the newly created instance of the job.\n\nError handling strategy\n-----------------------\n\n\nAn error handling strategy for a task specifies the action to take if the task fails due to a [temporary error](/application-integration/docs/error-handling). For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see [Error handling strategies](/application-integration/docs/error-handling-strategy).\n\nQuotas and limits\n-----------------\n\nFor information about quotas and limits, see [Quotas and limits](/application-integration/docs/quotas).\n\nWhat's next\n-----------\n\n- Add [edges and edge conditions](/application-integration/docs/edge-overview).\n- [Test and publish](/application-integration/docs/test-publish-integrations) your integration.\n- Configure a [trigger](/application-integration/docs/how-to-guides#configure-triggers).\n- Add a [Data Mapping task](/application-integration/docs/data-mapping-task).\n- See [all tasks for Google Cloud services](/application-integration/docs/how-to-guides#configure-tasks-for-google-cloud-services)."]]
