Applied AI In Engineering : From Insight to Implementation
Overview
Artificial Intelligence is no longer a future concept. It is today's engineering reality, transforming how systems are designed, tested, and maintained. In Applied AI in Engineering: From Insight to Implementation, Jefferson Otonbara Imgbi bridges the gap between theory and practice, showing how AI is reshaping the engineering world with precision, logic, and purpose. This book takes you beyond definitions and buzzwords. It begins by demystifying what "artificial" truly means and correcting the misconceptions that have distorted our understanding of intelligent systems. From there, it walks you through the historical evolution of AI, its scientific foundations, and its growing relationship with engineering.
Readers will learn how machine learning, data intelligence, and predictive modelling are revolutionising modern engineering disciplines, from civil and mechanical to marine, chemical, and computer engineering. Each chapter connects insight with practical tools, giving engineers a clear blueprint to design, analyse, and innovate more effectively. Through real-world examples, frameworks, and case studies, Jefferson shows how AI enhances decision-making, increases productivity, and enables safer, more sustainable systems. The book explores how engineers can integrate AI into design, manufacturing, simulation, and operations while remaining guided by ethics, accountability, and social responsibility. At the heart of this book is a message of empowerment. AI is not here to replace engineers; it is here to amplify them. Those who learn to use AI intelligently will shape the future of industry, research, and innovation.
Inside you will discover:
- The true meaning and evolution of Artificial Intelligence
- How AI is applied across major engineering fields
- Machine learning fundamentals made simple for engineers
- Real-world examples of AI in design, manufacturing, and systems
- Ethical frameworks for responsible and transparent AI
- The skills, mindset, and leadership qualities of the AI-ready engineer
This item is Non-Returnable
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Details
- ISBN-13: 9798278972969
- ISBN-10: 9798278972969
- Publisher: Independently Published
- Publish Date: January 2026
- Dimensions: 9 x 6 x 1.01 inches
- Shipping Weight: 1.47 pounds
- Page Count: 504
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