Artificial Intelligence is a comprehensive academic textbook designed to provide students, educators, researchers, and technology enthusiasts with a strong foundation in the rapidly evolving field of AI. Authored by experienced academicians and industry professionals, this book presents core concepts, theoretical principles, and practical applications of Artificial Intelligence in a clear, structured, and learner-friendly format. It serves as an essential resource for engineering, computer science, data science, and technology-related academic programs. The book systematically covers major topics such as the history and foundations of Artificial Intelligence, intelligent agents, problem-solving techniques, search algorithms, heuristic methods, minimax and alpha-beta pruning, knowledge representation, logical reasoning, planning systems, uncertain knowledge, probabilistic reasoning, Bayes’ theorem, Bayesian networks, and machine learning fundamentals. Real-world examples, diagrams, and problem-solving models are included to help readers understand how AI systems operate in practical environments. Special emphasis is given to balancing theoretical understanding with modern applications across healthcare, finance, robotics, education, transportation, cybersecurity, and automation. The text also introduces readers to emerging domains such as Generative AI, Explainable AI, deep learning, and ethical AI, making it highly relevant for present-day learners and professionals. Written in accessible language with organized chapter progression, Artificial Intelligence is ideal for undergraduate and postgraduate students, faculty members, self-learners, and professionals seeking career advancement in intelligent technologies. This book is a valuable reference for university courses, competitive exams, certification programs, research preparation, and skill development in AI-driven industries. It empowers readers with analytical thinking, computational intelligence, and the technical knowledge required for the future of smart systems and digital innovation.
About the Authors’
Mr. Dasaradha Arangi is working as an Assistant Professor in the Department of Artificial Intelligence & Machine Learning, Aditya Institute of Technology and Management, Tekkali, Srikakulam District, Andhra Pradesh, India. He was completed his MCA, M. Tech under JNTUK. He had more than 15 years of teaching experience in AITAM, Tekkali, Srikakulam, and AP. Currently pursing Ph.D. in CSE at GIETU, Gunupur, and Odisha. His area of research interest includes Machine learning and data analytics, Operating System, Software engineering, and Database Management System. He Published number of research papers in various reputed journals and attended Number of International conferences at various levels.
Dr. M. V. B. Chandrasekhar, B.Tech., M.Tech., Ph.D., Professor & Head of the Department – Artificial Intelligence and Machine Learning. Dr. M. V. B. Chandrasekhar is currently working as Professor and Head of the Department of Artificial Intelligence and Machine Learning. He has been associated with this institution since 2010 and has a total of 19 years of teaching experience and 4 years of industry experience as of October 2025. He was awarded a Ph.D. in Computer Science and Engineering in March 2021, with a research specialization in Digital Forensics. He has published a significant number of research papers in reputed international journals with high impact factors and Scopus indexing, and has also presented papers at various national and international conferences. Dr. Chandrasekhar is a SUN Certified Java Programmer and holds two patents. His academic and research interests include Data Science, Machine Learning, Natural Language Processing (NLP), Generative AI, DevOps, Quantum Computing, Cloud Computing, and Web Technologies.
Dr. Boddepalli Kiran Kumar is a seasoned academician and researcher with 17 years of experience in teaching and industry. He holds a Ph.D. in Computer Science and Engineering from Acharya Nagarjuna University (2021), an M.Tech in CSE from Andhra University, and a B.Tech from JNTUH. He is currently a Professor in the Department of CSM at AITAM, Tekkali,. His academic interests span Formal Languages, Compiler Design, Operating Systems, Computer Networks, Data Structures, and Computer Architecture. Dr. Kiran Kumar has guided numerous UG and PG projects and supervises two Ph.D. scholars. With 11 journal publications (including 8 Scopus and 5 SCI papers), 3 conference papers, 1 book, and 2 patents, he has established a strong research footprint. He is a member of ISTE, CSI, IE, and IAENG and has qualified GATE, UGC-NET, and AP-SET.
Mr. Kattamuri Venkata Chandra Sekhar is working as Assistant Professor in the Department of Artificial Intelligence & Machine Learning, Aditya Institute of Technology and Management, Tekkaill, Srikakulam District, Andhra Pradesh, India. He had completed his B.Tech in Computer Science and Engineering from JNTU Kakinada in 2013, M.Tech in Computer Science and Engineering from JNTU Kakinada in 2016. He had more than 5+ years of teaching experience in AITAM Engineering college. His area of research interest includes Machine Leaming, Python Programming, Web Technologies, Computer Networks and Operating Systems.
Mr. Pradeep Kumar Mahapatro is working as an Assistant Professor in the Department of Artificial Intelligence & Machine Learning, Aditya Institute of Technology and Management, Tekkali, Srikakulam District, Andhra Pradesh, India. He was completed his M.Sc., M.Phil., M. Tech., in Berhampur University, Berhampur. He had more than 15 years of teaching experience in Centurion University, Parlakhemundi, Odisha. Currently pursing Ph.D. in CSE at GIETU, Gunupur, Odisha. His area of research interest includes Machine learning and data analytics, Operating System, Software engineering, and Database Management System. He Published number of research papers in various reputed journals and attended Number of International conferences at various levels.
Mr. Chodi Sai Kishore is a Lecturer and Head of the section in the Department of Computer Engineering at Aditya Institute of Technology and Management (AITAM), Tekkali, Srikakulam District, Andhra Pradesh, India. He graduated with a B.Tech in CSE (AI & ML) from AITAM in 2025 and is currently pursuing his M.Tech in Computer Science and Engineering at the same institution. With a year of teaching experience at AITAM, his research interests include: Machine Learning, Python Programming, Web Technologies, Computer Networks and Operating Systems.
