Vertex AI

1. Vertex AI overview

   Unified ML platform for training, deploying and managing models.

2. Generative AI on Vertex AI

   Gemini models, prompt design, tuning and grounding.

3. Model Garden

   Foundation and open models available for use.

4. Training

   Custom training jobs, containers and hyperparameter tuning.

5. Prediction and endpoints

   Online and batch prediction and model deployment.

6. Vertex AI Pipelines

   Vertex AI Pipelines for Vertex AI: ML pipelines, components and orchestration, the key concepts and settings to know.

7. Feature Store

   Feature Store for Vertex AI: Feature management and serving, the key concepts and settings to know.

8. Vector Search

   Approximate nearest neighbor search at scale.

9. Model Registry

   Model Registry for Vertex AI: Model versioning and registry, the key concepts and settings to know.

10. Access control

    Access control for Vertex AI: IAM roles and permissions, the key concepts and settings to know.

11. Quotas and limits

    Quotas and limits for Vertex AI: Quotas for training and prediction, the key concepts and settings to know.

Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.