Artificial Intelligence: A Guide for Everyone

Artificial Intelligence: A Guide for Everyone is a broad, accessible introduction to AI that balances the field’s big ideas with the practical realities of building and using intelligent systems. Arshad Khan writes for readers who want a clear map of the territory: where AI came from, what it can do, where it struggles, and how it is being applied across industries.

A clear path through a complex field

The book opens with the history and basic definition of artificial intelligence before moving into the benefits and disadvantages that shape current conversations about the technology. From there, it widens into the relationship between AI and human work, daily life, and decision-making, giving the subject a grounded, real-world context rather than treating it as an abstract buzzword.

From foundations to implementation

Readers are guided through the essentials needed to build and deploy AI systems: data, algorithms, computing power, expertise, validation, ethics, interpretability, security, and compliance. The coverage then turns to core AI techniques and components, including:

• machine learning and deep learning
• natural language processing and computer vision
• robotics, expert systems, and reinforcement learning
• genetic algorithms, fuzzy logic, and cognitive computing

This is the kind of overview that helps the reader see how the pieces fit together, rather than leaving each term floating in isolation.

Why it stands out

Instead of focusing on a single niche, the book connects theory, practical development, and evaluation. It discusses how AI is measured, how different methods compare, and how AI is categorized by intelligence level and functionality. That makes it especially useful for readers who want a structured framework for understanding the broader AI landscape.

Who will find it useful

This ebook will be a natural fit for business readers, students, managers, professionals, and curious newcomers who want a readable, organized introduction to artificial intelligence. It also offers enough technical structure to support readers who need more than a casual overview.

If you want a smart, wide-angle guide to AI that moves from fundamentals to system design and evaluation, this title belongs on your shortlist.