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Vertex AI brings AutoML and AI Platform together into a unified API,
client library, and user interface. With Vertex AI, both AutoML training and
custom training are available options. Whichever option you choose for training, you
can save models, deploy models and request predictions with Vertex AI.
Try Vertex AI tutorials, courses, and self-paced
Google Cloud Skills Boost.
Hello image data
If you're new to artificial intelligence (AI), start with image classification on
AutoML. This tutorial shows you how to train a model using a pre-prepared dataset and AutoML's
codeless interface. After training your model, use this interface to send prediction requests
to the model.
If you're planning to code your own training app, use this tutorial to see how you can
bring your training code to Vertex AI. The tutorial provides a sample app for an image
classification model, and leads you through the process of running the app on Vertex AI.
After training your model, use a sample web app to send prediction requests to the model.
If your data is in a database, a spreadsheet, or some other structured form, use this
tutorial to explore and prepare your data on Vertex AI, then train your model. The tutorial
provides a dataset that you can experiment with, and shows you how to train a model with the
AutoML codeless training service and request predictions using the Google Cloud console.