Introduction to Artificial Intelligence: Principles, Algorithms, Tools, and Practical Applications (Student Learning Series Book 1)

Introduction to Artificial Intelligence: Principles, Algorithms, Tools, and Practical Applications is written for students, beginners, and self-learners who want to understand Artificial Intelligence in a clear, structured, and practical way. The book explains the foundations of AI without assuming advanced prior knowledge, using simple language, examples, diagrams, summaries, key terms, and review questions to make complex ideas easier to follow.The book introduces important AI topics such as problem solving, search strategies, knowledge representation, artificial neural networks, fuzzy logic, intelligent control systems, optimization techniques, and modern AI applications. Each topic is presented step by step to help readers build a strong foundation in both the principles and applications of AI.Designed especially for academic learning, this textbook is suitable for undergraduate students, classroom teaching, beginners in computing and engineering, and anyone starting their journey into Artificial Intelligence. It also supports self-study by providing structured explanations and review materials at the end of each chapter.The practical section connects theory with implementation through Python-based labs, Google Colab activities, AI tools, and mini project ideas. The book also emphasizes responsible and ethical AI use, encouraging learners to question AI outputs, verify results, and apply AI carefully in academic and professional contexts. Read more