vertex-ai-samples

Overview of vertex-ai-samples

What it is

This repository contains notebooks, code samples, sample apps, skills, 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.

Key features

• Notebooks and code samples covering each Vertex AI service (AutoML, custom training, prediction, etc.)
• Skills directory with AI Agent skills for Vertex AI tasks, Gen AI SDK usage, model deployment, inference, and tuning - Community-contributed notebooks and sample code - Support for multiple environments: Colab, Colab Enterprise, Vertex AI Workbench - Examples across categories: Model Garden, Feature Store, datasets, model development, deployment, Explainable AI, ML metadata, Pipelines - Demonstrates both machine learning and generative AI workflows

Use cases

• Explore curated models from Model Garden (first-party, open-source, third-party)
• Set up and manage online serving using Vertex AI Feature Store - Train and make predictions with AutoML models - Create, deploy, and serve custom models on Vertex AI - Use Colab Enterprise and Vertex AI SDK for Python to connect to Ray Cluster - Build, train, and deploy models using prebuilt containers for custom training and prediction - Use Model Registry to create and register a model - Explain model predictions with Vertex Explainable AI - Record and query ML metadata for debugging and audit - Build ML pipelines with Vertex AI Pipelines and Google Cloud Pipeline Components

Getting started

To get started, you must have a Google Cloud project. If you don't have one, you can use the Free Trial. Once you have a project, learn about setting up a project and a development environment. See the repository README for details.

License and pricing

This repository is licensed under Apache-2.0 and is open source (free).

Based on the project's public README and repository metadata.