“Whether you’re a seasoned architect or just beginning to embark on your cloud AI journey, this book will guide you on the path from data processing to cutting-edge generative AI models. It unlocks the power of Vertex AI, arming you with the tools to automate, monitor, and continuously improve your AI solutions. As businesses look to AI to solve increasingly complex problems, the need for solutions architects fluent in these technologies has never been greater. This book is not just a guide; it’s an investment in your future and the future of the businesses you will empower.”

Priyanka Vergadia, Leader, Developer Relations, Google

“If you’re looking to master machine learning and generative AI on Google Cloud, look no further. Kieran Kavanagh’s Google Machine Learning and Generative AI for Solutions Architects equips you with the practical AI skills, real-world use cases, and clear, step-by-step guides needed to succeed not only on Google Cloud but within the broader industry landscape.

It’s a beefy book covering everything from open-source offerings on Google Cloud (TensorFlow, PyTorch, and Spark) to how to build, train, and deploy ML models on GCP to vector databases for Generative AI applications. A must-read for AI practitioners at all levels.”

Stephanie Wong, Head of Technical Marketing – Storytelling at Google, Top Cloud Voice, and Award-Winning Creator

“Kieran’s book is a must-read not only for Solutions Architects but for any executive looking to integrate AI/ML and generative AI into their business strategy. It helps executives understand the value proposition of AI/ML – that it is not merely a technological advancement, but a powerful tool capable of transforming businesses and driving significant value. It goes beyond the theoretical hype, providing a pragmatic approach to understanding the AI/ML landscape and harnessing Google Cloud’s capabilities. The book emphasizes how Google Cloud’s managed services alleviate the burden of infrastructure management, allowing businesses to focus on extracting value from their data. The chapters on deployment and governance are particularly valuable, as they address the critical aspects of scaling and managing AI/ML projects within an enterprise environment.”

Jennifer L Dustin, Key Account Director at Google

“The most successful AI/ML projects are based on a close alignment between technical expertise and strategic business vision. This book enables such alignment by providing a common language and framework for building AI/ML solutions on Google Cloud. Covering everything from hyperparameter optimization to Retrieval-Augmented Generation (RAG), the book integrates proven best practices from the Google Cloud Architecture Framework at every stage in the AI/ML project life cycle, helping to build scalable, reliable, and cost-effective solutions. This guidance empowers both technical and executive teams to make informed decisions that drive measurable business results.”

Jose Luis-Gomes, Managing Director, Retail and Consumer, Google Cloud

​Kieran Kavanagh is a Principal Architect at Google. He works with large enterprises to guide them on architecting solutions to meet their business needs on Google Cloud. Having spent over a decade and a half working as a Solutions Architect at some of the world’s largest technology companies, such as Amazon, AT&T, Ericsson, and Google, he has amassed a wealth of knowledge in architecting extremely large-scale and highly complex technology solutions. He has presented on these topics at more than 100 technology conferences all over the world. Prior to joining Google, he was a Principal AI/ML Solutions Architect in Strategic Accounts at AWS, working with AWS’ largest customers to design and build cutting-edge and global-scale AI/ML solutions. He has a passion for AI/ML, and for teaching and helping others to grow their careers in this industry. ​Originally from Cork, Ireland, Kieran has lived and worked in many countries around the world, and he now resides in Atlanta, GA.