Learning Google Cloud Vertex AI

Vertex AI brings together many of the steps involved in working with machine-learning models on Google Cloud. Learning Google Cloud Vertex AI takes readers from the platform foundations—storage, BigQuery, and access management—to model training, deployment, and pipelines, showing how those pieces fit into a practical cloud workflow.

Hemanth Kumar K’s book is aimed at data scientists and AI practitioners. Its examples range from AutoML to custom models, with coverage of both structured data and image and text tasks. A grounding in machine learning and Python is useful preparation.

Start with the Google Cloud foundations

Before turning to Vertex AI, the book introduces core Google Cloud Platform concepts, including projects, cloud service models, Google Cloud Storage, BigQuery, and Identity and Access Management. This groundwork helps readers understand where data is stored and how access is managed before training begins.

Explore AutoML and custom model workflows

The early Vertex AI chapters distinguish AutoML from custom models and work through dataset creation and model training. The book covers tabular data as well as image and text classification, then follows the process toward batch and online predictions. Later chapters address custom training and model deployment.

Connect models with pipelines

Vertex AI Workbench, experiments, and pipelines extend the discussion beyond an individual training run. Dedicated chapters introduce pipelines built with Kubeflow components and TensorFlow Extended (TFX), giving readers a view of how repeatable machine-learning workflows can be organized on the platform.

Look beyond training and deployment

The coverage also reaches Vertex AI’s Feature Store and Explainable AI. Together with the earlier platform and model-development material, these topics offer a broader look at the tools surrounding a machine-learning project on Google Cloud.

Who may find this book useful

This book is particularly relevant to data scientists and AI practitioners who want to understand Vertex AI’s place in a Google Cloud workflow. Readers who already know machine-learning concepts and Python can bring that background to the platform examples and model-building discussions.