This legacy version of AutoML Tables is deprecated and will no longer be available on Google Cloud after January 23, 2024. All the functionality of legacy AutoML Tables and new features are available on the Vertex AI platform. See Migrate to Vertex AI to learn how to migrate your resources.

Before you begin

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This page describes the steps you need to take to enable AutoML Tables for your project.

Before you can use AutoML Tables, you must enable it for your project.

Set up your project

  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
  2. Install the Google Cloud CLI.
  3. To initialize the gcloud CLI, run the following command:

    gcloud init
  4. Create or select a Google Cloud project.

    • Create a Cloud project:

      gcloud projects create PROJECT_ID
    • Select the Cloud project that you created:

      gcloud config set project PROJECT_ID
  5. Make sure that billing is enabled for your Cloud project. Learn how to check if billing is enabled on a project.

  6. Enable the AutoML, BigQuery, and Cloud Storage APIs:

    gcloud services enable storage-component.googleapis.com automl.googleapis.com storage-api.googleapis.com bigquery
  7. Install the Google Cloud CLI.
  8. To initialize the gcloud CLI, run the following command:

    gcloud init
  9. Create or select a Google Cloud project.

    • Create a Cloud project:

      gcloud projects create PROJECT_ID
    • Select the Cloud project that you created:

      gcloud config set project PROJECT_ID
  10. Make sure that billing is enabled for your Cloud project. Learn how to check if billing is enabled on a project.

  11. Enable the AutoML, BigQuery, and Cloud Storage APIs:

    gcloud services enable storage-component.googleapis.com automl.googleapis.com storage-api.googleapis.com bigquery
  12. Set the PROJECT_ID environment variable to your Project ID.
    export PROJECT_ID=PROJECT_ID
    The AutoML API calls and resource names include your Project ID in them. The PROJECT_ID environment variable provides a convenient way to specify the ID.

Understand current known issues

Before starting to work with AutoML Tables, you should understand the current known issues and how to avoid or recover from them.