Tutorials overview

Each of the tutorials presented here walks you through a specific artificial intelligence (AI)workflow, created to represent the most common tasks and to illustrate thecapabilities of Vertex AI. Choose the tutorial that best matches yourdata type and AI task. After following the tutorial, you can use the patternsthat you have learned to solve your own AI problem. Vertex AI offersGoogle Cloud console tutorials and notebook tutorials that use the Python SDK.You can open a notebook tutorial directly in Colab, download the notebook to yourpreferred environment, oropen the notebook tutorial in Vertex AI Workbench.

Train a classification model for tabular data

Tabular classification training introduction

Create a Vertex AI dataset from tabular data, and then train a classification model with AutoML. Deploy the model to an endpoint and make online predictions.

Google Cloud console: You can choose tutorial guides with step-by-step instructions for the Google Cloud console.
Show on cloud.google.com |Show in an interactive format in Google Cloud console

Notebook: You can choose to run this tutorial as a notebook.
Run in Colab |Open in Colab Enterprise |View on GitHub |Open in Vertex AI Workbench

Train a regression model for tabular data

Tabular regression training introduction

Create a Vertex AI dataset from tabular data, and then train a regression model with AutoML. Deploy the model to an endpoint and make online predictions or make predictions in batch format.

Notebook: You can choose to run this tutorial and makeonline predictions using a notebook.
Run in Colab |Open in Colab Enterprise |View on GitHub |Open in Vertex AI Workbench

Notebook: You can choose to run this tutorial and makebatch predictions using a notebook.
Run in Colab |Open in Colab Enterprise |View on GitHub |Open in Vertex AI Workbench

Train a time-series forecasting model for tabular data

Tabular forecasting training introduction

Create a Vertex AI dataset from tabular data, and then train a forecasting model with AutoML. Make predictions in batch format.

Notebook: You can choose to run this tutorial as a notebook.
Run in Colab |Open in Colab Enterprise |View on GitHub |Open in Vertex AI Workbench

Train a classification model for image data

Image classification training introduction

Create a Vertex AI dataset for image data, and then train a classification model with AutoML. Deploy the model to an endpoint and make online predictions.

Google Cloud console: You can choose tutorial guides with step-by-step instructions for the Google Cloud console.
Show on cloud.google.com

How to open a notebook in Vertex AI Workbench

To open a notebook tutorial in a Vertex AI Workbench instance:

  1. Click theVertex AI Workbench link in thenotebook list. The link opens the Vertex AI Workbench console.
  2. In theDeploy to notebook screen, type a name for your new Vertex AI Workbench instance and clickCreate.
  3. In theReady to open notebook dialog that appears after the instance starts, clickOpen.
  4. On theConfirm deployment to notebook server page, selectConfirm.
  5. Before running the notebook, selectKernel > Restart Kernel and Clear all Outputs.

What's next

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