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Google Cloud 16 April 2026 · 6 min read

Vertex AI; Google Cloud's Unified ML Platform

The ML tools Vertex AI offers; AutoML, custom training, model deployment and MLOps.

Vertex AI Machine Learning GCP MLOps

Vertex AI is the unification of Google Cloud's ML platforms. AutoML (training a model without writing code), custom training (training with your own code), model deployment and monitoring — all under one roof.

01. AutoML: ML Without Writing Code

You upload data and select the target column, and Vertex AI finds the most suitable model itself. Image classification, tabular prediction, text classification, video analysis — all supported.

02. Custom Training

If you have your own training code with TensorFlow, PyTorch or JAX, you run it on Vertex AI. GPU and TPU resources are rented by the hour.

03. Model Deployment

You publish the trained model as a REST API with one click. Auto-scaling, version management, A/B testing — all within the platform.

04. Model Monitoring

Monitoring how the model behaves in the real world is critical. Vertex AI automatically calculates data-drift and prediction-drift metrics.

05. Gemini API

Google's own GenAI model, Gemini, is also accessible via Vertex AI. Fully integrated for prompt engineering, fine-tuning and production use.

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