This repository contains 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.
Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. This repository is designed to help you get started with Vertex AI. Whether you're new to Vertex AI or an experienced ML practitioner, you'll find valuable resources here.
For more Vertex AI Generative AI notebook samples, please visit the Vertex AI Generative AI GitHub repository.
You can explore, learn, and contribute to this repository to unleash the full potential of machine learning on Vertex AI! You can follow the links in the header section of each of the notebooks to -
Open and run the notebook in Colab
Open and run the notebook in Colab Enterprise
Open and run the notebook in Vertex AI Workbench
View the notebook on Github
To get started using Vertex AI, you must have a Google Cloud project.
- If you don't have a Google Cloud project, you can learn and build on GCP for free using Free Trail.
- Once you have a Google Cloud project, you can learn more about setting up a project and a development environment.
├── notebooks
│ ├── official - Notebooks demonstrating use of each Vertex AI service
│ │ ├── automl
│ │ ├── custom
│ │ ├── ...
│ ├── community - Notebooks contributed by the community
│ │ ├── model_garden
│ │ ├── ...
├── community-content - Sample code and tutorials contributed by the community
Contributions welcome! See the Contributing Guide.
Please use the issues page to provide feedback or submit a bug report.
This is not an officially supported Google product. The code in this repository is for demonstrative purposes only.
Please feel free to fill out our survey to give us feedback on the repo and its content.