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 the capabilities of Vertex AI. Choose the tutorial that best matches your data type and AI task. After following the tutorial, you can use the patterns that you have learned to solve your own AI problem. Vertex AI offers Google Cloud console tutorials and notebook tutorials that use the Python SDK. You can open a notebook tutorial directly in Colab, download the notebook to your preferred environment, or open 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 make online 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 make batch 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 | Show in an interactive format in Google Cloud console