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This tutorial walks you through the required steps to train and get predictions from your image classification model in the Google Cloud console.

To complete this tutorial, you can either follow the instructions in the following pages or use the in-console walkthrough tutorial, which is a similar tutorial in the Google Cloud console. The tutorial in-console walkthrough uses a multi-label dataset and the one in the documentation uses a single-label dataset.

Tutorial pages

This tutorial has several pages:

1. Setting up your project.
2. Creating a image classification dataset.
3. Training an AutoML image classification model.
4. Deploying the model for batch predictions.
5. Cleaning up your project.