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Vertex AI is Google's unified AI platform for building, deploying, and scaling ML models. It consolidates Google's ML services (AutoML, AI Platform, AI Hub) into a single platform. Key capabilities: AutoML: train high-quality models for image, video, text, and tabular data without writing ML code. Custom training: train your own models using TensorFlow, PyTorch, scikit-learn, or XGBoost on managed infrastructure. Model Registry: version and manage trained models. Vertex AI Predictions: deploy models as REST endpoints with automatic scaling. Pipelines: orchestrate ML workflows (based on Kubeflow Pipelines). Workbench: managed JupyterLab notebooks. Feature Store: manage and serve ML features. Gemini API on Vertex AI: access Google's large language models (Gemini Pro, Ultra) via enterprise API.