Preface

As artificial intelligence (AI) continues to gain traction across diverse industries, the need for proficient machine learning (ML) solutions architects is on the rise. These professionals play a pivotal role in bridging business requirements with ML solutions, crafting ML technology platforms that address both business and technical challenges. This book is designed to equip individuals with a comprehensive understanding of business use cases, ML algorithms, system architecture patterns, ML tools, AI risk management, enterprise AI adoption strategies, and the emerging field of generative AI.

Upon completing this book, you will possess a comprehensive understanding of AI/ML and generative AI topics, encompassing business use cases, scientific principles, technological underpinnings, architectural considerations, risk management, operational aspects, and the journey towards enterprise adoption. Moreover, you will acquire hands-on technical proficiency with a diverse array of open-source and AWS technologies, empowering you to build and deploy cutting-edge AI/ML and generative AI solutions effectively. This holistic knowledge and practical skillset will enable you to articulate and address the multifaceted challenges and opportunities presented by these disruptive technologies.