AI for Engineers: Concepts, Algorithms and Use Cases

The age of intelligent automation has transformed engineering into a field  increasingly influenced by data-driven decisions and algorithmic design. AI for  Engineers: Concepts, Algorithms, and Use Cases, has been curated to meet this  new demand, bridging foundational knowledge of artificial intelligence with  practical engineering applications. This book does not merely explain AI as a  standalone subject; it intricately weaves it into the fabric of mechanical, electrical,  civil, and environmental engineering, reflecting how AI is reshaping problem solving approaches in real-world scenarios. 

Designed to strike a balance between conceptual clarity and domain relevance, the  book encompasses a broad spectrum of AI topics, including mathematical  foundations, machine learning, deep learning, natural language processing,  computer vision, reinforcement learning, and domain-specific applications. Each chapter is enriched with engineering-focused examples, making the subject matter approachable and applicable. From predictive maintenance in manufacturing to smart grid management, and from autonomous navigation to structural health monitoring, the chapters highlight not only how AI works but how it transforms traditional engineering systems. 

This book is written for engineering students, practitioners, and educators who  wish to build a solid foundation in AI while staying grounded in core engineering  principles. It serves as both a learning tool and a practical guide for those aiming to integrate AI into their engineering workflows. As artificial intelligence continues to evolve, it is essential for the next generation of engineers to develop a mindset that is both analytical and adaptive. We hope this book empowers readers to explore that path with confidence and creativity.