Who this book is for

This book is designed for two primary audiences: developers and cloud architects who are looking for guidance and hands-on learning materials to become ML solutions architects, and experienced ML architecture practitioners and data scientists who are looking to develop a broader understanding of industry ML use cases, enterprise data and ML architecture patterns, data management and ML tools, ML governance, and advanced ML engineering techniques. This book can also benefit data engineers and cloud system administrators looking to understand how data management and cloud system architecture fit into the overall ML platform architecture. Risk professionals, AI product managers, and technology decision makers will also benefit from topics on AI risk management, business AI use cases, and ML maturity journey and best practices.

This book assumes you have some Python programming knowledge and are familiar with AWS services. Some of the chapters are designed for ML beginners to learn the core ML fundamentals, and they might overlap with the knowledge already possessed by experienced ML practitioners.