What do you get with Print?

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

Colour book shipped to your preferred address

Download this book in EPUB and PDF formats

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

View table of contents

Preview Book

Download Code

Key benefits

Understand key concepts, from fundamentals through to complex topics, via a methodical approach

Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud

Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle

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

Description

Most companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies. You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process. By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.

Who is this book for?

This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.

What you will learn

Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark

Source, understand, and prepare data for ML workloads

Build, train, and deploy ML models on Google Cloud

Create an effective MLOps strategy and implement MLOps workloads on Google Cloud

Discover common challenges in typical AI/ML projects and get solutions from experts

Explore vector databases and their importance in Generative AI applications

Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows

What do you get with Print?

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

Colour book shipped to your preferred address

Download this book in EPUB and PDF formats

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

Data Engineering with Google Cloud Platform

€31.99

Google Machine Learning and Generative AI for Solutions Architects

€37.99

Database Design and Modeling with Google Cloud

€26.99

Total € 96.97

FAQs

What is the delivery time and cost of print book?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

What is custom duty/charge?

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order?

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges?

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.

How can I cancel my order?

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy?

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged?

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use?

You can pay with the following card types:

Visa Debit
Visa Credit
MasterCard
PayPal

What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

covey Jul 02, 2024

This book is one of the most comprehensive courses on AI in the cloud that I've encountered so far! I love how it starts with the basics and then builds incrementally to cover advanced topics. This makes it accessible for almost anybody to start learning the concepts. I'm a solutions architect with a lot of experience in the tech industry, and I really enjoyed how the book covers the theoretical concepts in each chapter, and then provides guidance on how to actually build these systems in the cloud, along with best practices to optimize the implementation in terms of efficiency, reliability, cost, and other important architectural factors.My 13-year-old is also learning from this book, so it really does appeal to a broad audience!

Amazon Verified review

S.Kundu Aug 29, 2024

Google Machine Learning and Generative AI for Solutions Architects" provides an introduction to foundational AI/ML concepts and Google Cloud's tools, guiding readers through practical applications, custom model building and data preparation techniques. It covers model deployment, MLOps practices and addresses fairness, bias and explainability in AI models. The book concludes with a comprehensive overview of generative AI, including its evolution, applications and advanced techniques.A few important topics of the book that I want to highlight are as below:The book begins with introduction to foundational AI/ML concepts and explores various real-world applications and challenges, laying the groundwork for understanding more advanced topics in the book along with explaining ML Model Development Life CycleNext, it provides provides an overview of setting up and utilizing Google Cloud AI/ML services, including an introduction to the platform's tools and capabilities.It then focuses on practical applications of high-level AI services for common tasks such as image recognition and sentiment analysis.The book guides readers through building custom machine learning models on Google Cloud, using popular libraries like scikit-learn along with Vertex AI.It further covers data preparation techniques for AI/ML, including building both batch and streaming data pipelines on Google Cloud and discusses techniques for feature engineering and dimensionality reduction, highlighting tools such as PCA, LDA and the Vertex AI Feature StoreThe book then explores the concept of hyperparameters and strategies for hyperparameter optimization, providing hands-on examples with Vertex AI and also introduces neural networks and deep learning concepts, including model implementation in TensorFlow and challenges in optimizing neural networks.The book covers deployment strategies, monitoring and scaling models in production environments, including A/B testing and edge optimization and discusses the principles of MLOps (Machine Learning Operations) and how to implement them using tools like Vertex AI Pipelines for efficient model management.It then examines critical issues around bias, fairness and explainability in AI models, as well as the importance of lineage in tracking model development and focuses on governance practices and the architecture framework necessary for managing AI/ML workloads on Google Cloud.Finally, the book covers the concepts and techniques of generative AI, discussing its evolution and applications along with more advanced generative AI techniques, providing insights into state-of-the-art models and their practical uses.

Vipin Jul 07, 2024

This book is a must-read for anyone working with AI/ML on Google Cloud. As a practitioner in the field, I found this book to be both comprehensive and incredibly practical.The chapters skillfully guide you through essential AI/ML concepts, which is extremely helpful if you're new to the field. The book also focuses on real-world challenges in building AI applications and their solutions. The insights shared are invaluable, and access to a repo of hands-on projects provide a fantastic way to apply the knowledge gained.I was particularly impressed with the detailed exploration of Google Cloud's AI/ML tools and services. The step-by-step instructions on everything from data preparation to model deployment are clear and easy to follow.Whether you're a beginner or an experienced practitioner, this book has something for everyone. Highly recommended!

Damien Jul 05, 2024

An exceptional textbook! It breaks down complex concepts into easily digestible sections. It starts with the most basic principles for beginners and the chapters increase in complexity as you develop your understanding. A must for any capability level and an ideal intro for the next generation to gain knowledge in what will be an integrall part of their lives. Highly recommend!

Steven Fernandes Aug 06, 2024

An essential guide for leveraging Google Cloud's open-source offerings like TensorFlow, PyTorch, and Spark to build machine learning solutions. This book covers sourcing and preparing data, constructing and deploying ML models, and crafting an effective MLOps strategy on Google Cloud. It provides insights into overcoming common challenges in AI/ML projects with expert solutions. Additionally, the book explores advanced topics such as the use of vector databases in generative AI applications and introduces new generative AI patterns like Retrieval Augmented Generation, agents, and agentic workflows, making it a comprehensive resource for professionals in the field.

Google Machine Learning and Generative AI for Solutions Architects: Build efficient and scalable AI/ML solutions on Google Cloud

What do you get with Print?