The Definitive Guide to Google Vertex AI: Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices

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Key benefits

Understand the role of an AI platform and MLOps practices in machine learning projects

Get acquainted with Google Vertex AI tools and offerings that help accelerate the creation of end-to-end ML solutions

Implement Vision, NLP, and recommendation-based real-world ML models on Google Cloud Platform

Purchase of the print or Kindle book includes a free PDF eBook

Description

While AI has become an integral part of every organization today, the development of large-scale ML solutions and management of complex ML workflows in production continue to pose challenges for many. Google’s unified data and AI platform, Vertex AI, directly addresses these challenges with its array of MLOPs tools designed for overall workflow management. This book is a comprehensive guide that lets you explore Google Vertex AI’s easy-to-advanced level features for end-to-end ML solution development. Throughout this book, you’ll discover how Vertex AI empowers you by providing essential tools for critical tasks, including data management, model building, large-scale experimentations, metadata logging, model deployments, and monitoring. You’ll learn how to harness the full potential of Vertex AI for developing and deploying no-code, low-code, or fully customized ML solutions. This book takes a hands-on approach to developing u deploying some real-world ML solutions on Google Cloud, leveraging key technologies such as Vision, NLP, generative AI, and recommendation systems. Additionally, this book covers pre-built and turnkey solution offerings as well as guidance on seamlessly integrating them into your ML workflows. By the end of this book, you’ll have the confidence to develop and deploy large-scale production-grade ML solutions using the MLOps tooling and best practices from Google.

What you will learn

Understand the ML lifecycle, challenges, and importance of MLOps

Get started with ML model development quickly using Google Vertex AI

Manage datasets, artifacts, and experiments

Develop no-code, low-code, and custom AI solution on Google Cloud

Implement advanced model optimization techniques and tooling

Understand pre-built and turnkey AI solution offerings from Google

Build and deploy custom ML models for real-world applications

Explore the latest generative AI tools within Vertex AI

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Causal Inference and Discovery in Python

€29.99

€37.99

The Definitive Guide to Google Vertex AI

€37.99

Total € 105.97

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Feefo verified reviews

Amazon verified reviews

tt0507 Mar 30, 2024

The book is an excellent resource for learning Google Vertex AI and exploring the ML lifecycle and ML ops within the Google Cloud Platform ecosystem. The book explores advanced topics such as generative AI, document processing, and real-world applications (defect detection and fake news identification) and has a great mix of exploring the ML components and the applications of the components. The explanation of the no-code component is also very helpful when learning Google Vertex AI for the first time. Overall, the book serves as a great resource for beginners and experienced professionals.

Amazon Verified review

Steven Fernandes Mar 02, 2024

This book offers a deep dive into the ML lifecycle, emphasizing the critical role of MLOps and providing a fast track to developing ML models with Google Vertex AI. It covers managing datasets, artifacts, and experiments, and introduces no-code, low-code, and custom AI solutions on Google Cloud. Advanced model optimization techniques and Google's turnkey AI solutions are also explored. Additionally, it guides on building and deploying custom ML models for real-world applications and highlights the latest generative AI tools in Vertex AI, making it a valuable resource for anyone in the AI and ML fields.

Rahul Feb 04, 2024

Only read a few chapters, but overall the content is good and easy to understand. Really excited to finish the rest of the book.

Scott Jan 30, 2024

If you're serious about developing scalable, production-ready machine learning solutions, this book is an invaluable resource. It provides an exceptional deep dive into Google Cloud's Vertex AI platform with a bias for action, building skills across the full spectrum of machine learning challenges.Key Strengths:- Practical Focus: The book's emphasis on real-world applications is refreshing. You'll gain tangible skills, building and deploying models for vision, natural language processing, and even cutting-edge generative AI.- Catering to All Skill Levels: Whether you prefer no-code, low-code, or custom development, this guide expertly balances approachable explanations with the necessary depth for advanced customization.- MLOps Mastery: The comprehensive coverage of MLOps best practices and Vertex AI's integrated toolkit ensures you not only understand ML concepts, but also excel at managing the entire model lifecycle for optimal production performance. This is critical for day-after operations planning.- Beyond the Basics: The exploration of pre-built solutions and Vertex AI's latest generative AI tools keeps you ahead of the curve, making this book a future-proof investment.Who Should Read This:- Machine learning practitioners seeking to leverage Google Cloud Platform's capabilities to their fullest potential.- Data scientists and engineers aiming to streamline model development and deployment workflows.- Anyone eager to grasp the latest ML breakthroughs and their practical implementations.This book stands out as a comprehensive and well-structured guide to harnessing the power of Google Vertex AI. With its clear explanations, hands-on examples (my favorite), and a focus on MLOps, it will help you build the confidence and proficiency to confidently build world-class machine learning solutions while adhering to Google best practices.

H2N Jan 23, 2024

The book is a nice guide for who are working in machine learning developing solutions on Google Cloud with Vertex AI and MLOps. The book covers data storage, management, and the use of Vertex AI tools for efficient, scalable ML solution deployment. It also presents ML workload scaling, monitoring, and governance, and includes in-depth discussions on project life cycles, model building, optimization, and automation tools. Its exploration of generative AI, document processing, ML APIs, and real-world applications like defect detection and fake news identification makes it an essential resource for leveraging Google Cloud in ML.

The Definitive Guide to Google Vertex AI: Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices

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