Google Generative AI resources

A collection of resources that helps everyone learn more about Google Generative AI offerings.

Please submit additional resources via a PR.

Generative AI on Google Cloud

Use Vertex AI to interact with, customize, and embed foundation models into your applications
Access foundation models on Model Garden
Tune models via a simple UI on Vertex AI Studio
Use Vertex AI Search, to build and deploy AI agents grounded in their data
Google foundation models

Gemini, a multimodal model from Google DeepMind, is capable of understanding virtually any input, combining different types of information, and generating almost any output.
Prompt and test Gemini in Vertex AI using text, images, video, or code.

Gemini Code Assist offers AI-powered assistance to help developers build applications with higher velocity, quality, and security in popular code editors like VS Code and JetBrains, and on developer platforms like Firebase.
Gemini for Google Cloud offerings assist users in working and coding more effectively, gaining deeper data insights, navigating security challenges, and more.

Beginner: Introduction to Generative AI Learning Path: This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles. This learning path currently has several courses listed below:
Intermediate: Gemini for Google Cloud Learning Path: The Gemini for Google Cloud learning path provides examples of how Gemini can help make engineers of all types more efficient in their daily activities.
Advanced: Generative AI for Developers Learning Path: A Generative AI Learning Path with a technical focus, built for App Developers, Machine Learning Engineers, and Data Scientists. Recommended prerequisite: Introduction to Generative AI learning path.