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Google Cloud Vertex AI Samples

Google Cloud Vertex AI Samples is a public repository of Jupyter notebooks, code examples, sample applications and skills that demonstrate how to use, develop and manage machine-learning and generative-AI workflows with Vertex AI. It includes examples for tasks such as training and predicting with AutoML, creating and deploying custom models, using model registry and pipelines, and working with Gemini API examples.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Google Cloud Vertex AI Samples — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the repository when you need a concrete Vertex AI notebook or code example to learn from or adapt for a machine-learning or generative-AI workflow.

Who it is for

  • Developers learning how to use Vertex AI services through notebooks and code examples.
  • Machine-learning practitioners seeking examples for model development, prediction, deployment or MLOps workflows.
  • Developers exploring Gemini-related examples and Vertex AI generative-AI skills.

Documented uses

  • Find a notebook demonstrating a Vertex AI service or workflow.
  • Explore examples for training, predicting with, registering or deploying models.
  • Review examples for Vertex AI Pipelines, Feature Store, datasets and prediction explanations.
  • Explore Gemini API examples and skills for inference, deployment or fine-tuning tasks.
Before you choose

Requirements & limits

The repository is public and licensed under Apache-2.0. The README says a Google Cloud project is required to get started using Vertex AI.

  • Examples are organized across official service notebooks and community-contributed notebooks and tutorials.
  • The notebook collection covers multiple ML workflow stages, including AutoML, custom models, model registry, pipelines and prediction explanations.
  • The README identifies the code as demonstrative and says the repository is not an officially supported Google product.
  • The repository links to separate Vertex AI Generative AI notebook samples for further generative-AI examples.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Open a Vertex AI sample notebook

Choose a repository notebook and open it in a supported notebook environment.

Before you start

  • A Google Cloud project to get started using Vertex AI.
  • Access to the repository and a notebook environment linked from the notebook header.

Steps

  1. Browse the repository and select a notebook for the Vertex AI service or workflow you want to explore.

  2. Follow the notebook header link to open it in Colab, Colab Enterprise or Vertex AI Workbench, or view it on GitHub.

  3. For project and development-environment preparation, consult the linked Vertex AI setup guidance.

Expected outcome

A selected Vertex AI example is opened in a linked notebook environment or viewed on GitHub.

Guide limitations

  • The repository states that its code is demonstrative and that it is not an officially supported Google product.
  • This guide covers opening and preparing to use a notebook, not running a particular workflow.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
14 October 2026
Original website title
GoogleCloudPlatform/vertex-ai-samples · Official homepage title · retained in its source language
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