#241 · Primary category: Education & Research

vertex-ai-samples

automl colab colab-enterprise gemini gemini-api genai generative-ai google-cloud-platform ml mlops model model-garden notebook pipeline predictions samples vertex-ai vertexai workbench

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Project last updated:08/25/26

GitHub Stars

780

Forks

306

Contributors

236

License

Apache-2.0

Why we included this project

Anyone weighing Google Cloud's Vertex AI as their ML platform will find a practical starting point in this collection of notebooks and sample apps. The repository covers the main Vertex AI services, from AutoML and custom training through model deployment, pipelines, model registry, and generative AI workflows, and the notebooks are set up to run directly in Colab or Vertex AI Workbench. That makes it a solid learning path for newcomers and a handy reference for experienced practitioners who want to see how a specific service behaves before wiring it into their own projects. Since the samples are grouped by service and include community contributions, you can usually find a pattern close to your own use case and adapt it instead of starting from scratch.

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