This book provides a comprehensive yet accessible introduction to Artificial Intelligence (AI), covering fundamental concepts, classical AI techniques, machine learning, deep learning, natural language processing, generative AI, applications, and responsible AI. It is designed for undergraduate and postgraduate students of Computer Science, Information Technology, Artificial Intelligence, and related disciplines.The book is organized into six chapters. Chapter 1 introduces the foundations of AI, its history, goals, major approaches, intelligent behaviour, and the relationship between AI, machine learning, and deep learning. Chapter 2 focuses on intelligent agents, problem formulation, uninformed and informed search, heuristics, optimization, constraint satisfaction, planning, and adversarial search. Chapter 3 discusses knowledge representation and reasoning, including propositional and first-order logic, expert systems, ontologies, Bayesian networks, fuzzy logic, knowledge graphs, and reasoning under uncertainty.Chapter 4 introduces Machine Learning, covering supervised, unsupervised, semi-supervised, and reinforcement learning.

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