Hello tabular data: Setting up your project and environment

This tutorial walks you through the process of using Vertex AI to create a tabular dataset and use it to train a classification model.

The entire process takes a couple of hours to complete. Most of that time is not active time; you can close your browser window and return to the task later.

This tutorial has several pages:

  1. Setting up your project and environment.

  2. Creating a tabular dataset and training an AutoML classification model.

  3. Deploying the model to an endpoint and sending a prediction.

  4. Cleaning up your project.

Each page assumes that you have already performed the instructions from the previous pages of the tutorial.

Introduction to the data

This tutorial uses the Bank marketing open-source dataset, which is available through a Creative Commons CCO: Public Domain license. The column names have been updated for clarity.

Before you begin

Throughout this tutorial, you'll use Google Cloud Console to interact with Google Cloud. Complete the following steps before using Vertex AI functionality.

  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. In the Google Cloud Console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  3. Make sure that billing is enabled for your Cloud project. Learn how to confirm that billing is enabled for your project.

  4. Enable the Vertex AI API.

    Enable the API

  5. Create a service account:

    1. In the Cloud Console, go to the Create service account page.

      Go to Create service account
    2. Select a project.
    3. In the Service account name field, enter a name. The Cloud Console fills in the Service account ID field based on this name.

      In the Service account description field, enter a description. For example, Service account for quickstart.

    4. Click Create.
    5. Click the Select a role field.

      Under Quick access, click Basic, then click Owner.

    6. Click Continue.
    7. Click Done to finish creating the service account.

      Do not close your browser window. You will use it in the next step.

  6. Create a service account key:

    1. In the Cloud Console, click the email address for the service account that you created.
    2. Click Keys.
    3. Click Add key, then click Create new key.
    4. Click Create. A JSON key file is downloaded to your computer.
    5. Click Close.
  7. Set the environment variable GOOGLE_APPLICATION_CREDENTIALS to the path of the JSON file that contains your service account key. This variable only applies to your current shell session, so if you open a new session, set the variable again.

What's next

Follow the next page of this tutorial to create a tabular dataset and train a classification model.