GoogleCloudPlatform/vertex-ai-samples

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.

71
/ 100
Verified

This repository provides practical examples and guided notebooks for anyone building or managing machine learning and generative AI solutions on Google Cloud's Vertex AI platform. It takes your raw data and ideas, and through step-by-step code, helps you create, deploy, and manage AI models. Data scientists, machine learning engineers, and AI practitioners can use these resources to accelerate their projects.

663 stars. Actively maintained with 27 commits in the last 30 days.

Use this if you are a data scientist or ML engineer looking for concrete examples and starter code to implement machine learning or generative AI workflows on Google Cloud's Vertex AI.

Not ideal if you are a non-technical user looking for a low-code or no-code solution, or if you are not planning to use Google Cloud's Vertex AI platform.

machine-learning-operations generative-ai-development cloud-ml-platform model-deployment data-science-workflow
No Package No Dependents
Maintenance 20 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

663

Forks

258

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Mar 12, 2026

Commits (30d)

27

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/GoogleCloudPlatform/vertex-ai-samples"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.