Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI (English Edition)

Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI (English Edition)
by: Hemanth Kumar K (Author)
Publication Date: 28 Aug. 2023
Language:English
Print Length:346 pages
ISBN-10:9355515359
ISBN-13:9789355515353


Book Description
Learn how to build an end-to-end data to AI solution on Google Cloud using Vertex AI
Key Features● Harness the power of AutoML capabilities to build machine learning models.● Learn how to train custom machine learning models on the Google Cloud Platform.● Accelerate your career in data analytics by leveraging the capabilities of GCP.DescriptionGoogle Cloud Vertex AI is a platform for machine learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you.This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI for a wide range of machine learning operations. It covers the basics of the Google Cloud Platform, encompassing cloud storage, big query, and IAM. Subsequently, it delves into the specifics of Vertex AI, including AutoML, custom model training, model deployment on endpoints, development of Vertex AI pipelines, and the Explainable AI feature store.By the time you finish reading this book, you will be able to navigate Vertex AI proficiently, even if you lack prior experience with cloud platforms. With the inclusion of numerous code examples throughout the book, you will be equipped with the necessary skills and confidence to create machine learning solutions using Vertex AI.
What you will learn● Learn how to create projects, store data in GCP, and manage access permissions effectively.● Discover how AutoML can be utilized for streamlining workflows.● Learn how to construct pipelines using TFX (TensorFlow Extended) and Kubeflow components.● Gain an overview of the purpose and significance of the Feature Store.● Explore the concept of explainable AI and its role in understanding machine learning models.
Who this book is forThis book is designed for data scientists and advanced AI practitioners who are interested in learning how to perform machine learning tasks on the Google Cloud Platform. Having prior knowledge of machine learning concepts and proficiency in Python programming would greatly benefit readers.
Table of contents1. Basics of Google Cloud Platform2. Introduction to Vertex AI and AutoML Tabular3. AutoML Image, Text, and Pre-built Models4. Vertex AI Workbench and Custom Model Training5. Vertex AI Custom Model Hyperparameter and Deployment6. Introduction to Pipelines and Kubeflow7. Pipelines using Kubeflow for Custom Models8. Pipelines using TensorFlow Extended9. Vertex AI Feature Store10. Explainable AI

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