About Book
Textbook of Artificial Intelligence is a comprehensive guide for students, educators, and professionals seeking foundational and advanced knowledge in AI.
It begins with a clear definition and history of Artificial Intelligence, helping readers understand its roots and evolution.
The book explores real-world applications of AI across various industries including healthcare, finance, education, and autonomous systems.
Core AI branches like Machine Learning, Deep Learning, NLP, Robotics, and Computer Vision are introduced with practical insights.
In-depth coverage of Intelligent Agents explains their structure, types, and operating environments. The Problem Solving section walks readers through classic algorithms like BFS, DFS, A*, and adversarial search techniques.
Knowledge Representation and Reasoning introduces propositional logic, predicate logic, semantic nets, and uncertainty models like Bayesian networks.
Machine Learning fundamentals cover supervised, unsupervised, and reinforcement learning, alongside key algorithms and neural networks.
Advanced topics like CNNs, RNNs, Transformers, GANs, and NLP tasks are well-structured for deeper understanding. Dedicated chapters on AI in real-world applications showcase use cases in robotics, vision, and recommender systems. Hands-on tools like TensorFlow, PyTorch, Keras, and data handling with Pandas and NumPy are introduced for practical learning. The book encourages ethical thinking with discussions on AI fairness, privacy, transparency, and regulation. A special focus on the future of AI covers trends like generative models, autonomous agents, and human-AI collaboration.
Well-organized content helps learners connect theory to practical implementation and innovation.
Step-by-step examples and algorithm breakdowns make complex topics easy to understand.
Each chapter includes conceptual summaries, illustrations, and review questions for better retention. Perfect for beginners and intermediate learners, as well as educators designing AI curricula.
Prepares students for research and industry careers with real-world insights and project ideas.
Bridges the gap between traditional AI principles and modern AI technologies.
A valuable reference for anyone passionate about building intelligent systems and exploring the world of AI.
About Author
Ajit Kumar Tiwari is an Associate Professor at Bhabha College of Engineering, with over 15 years of teaching experience. He specializes in Database Management Systems (DBMS), Artificial Intelligence (AI), and Cloud Computing. Professor Tiwari has published 12 research papers in respected journals and conferences, showcasing his commitment to advancing knowledge. His teaching approach emphasizes both theoretical understanding and practical application through hands-on projects. His dedication to education and research continues to inspire both students and colleagues.
Dr. Shuchi is a distinguished academic with a strong background in mathematics and education. She has been serving as a Professor at Poornima College of Engineering, Jaipur since 2012, after a decade as an Professor. Her expertise spans Engineering Mathematics, Discrete Structures, and Operations Research, and she has actively contributed to educational development, including coordinating programs and serving as a paper setter. Dr. Shuchi is also a passionate advocate for women's welfare, having chaired the Poornima Women Welfare Association. She has made notable contributions to research, focusing on women’s safety devices and AI in healthcare.
Prof. Sushil K. Kashaw is Professor in Department of Pharmaceutical Sciences, Dr. H.S. Gour University (A Central University), Sagar, M.P. and Raman Postdoctoral Fellow. He is academic and former executive council member of the university. He did his B. Pharm (1998), M. Pharm (2000) and PhD (2009) from Dr. Harisingh Gour University. He worked in Central Drug Research Institute, Lucknow as CSIR-SRF and in Wayne State University, Detroit, USA as Raman Postdoctoral Research. To his credit he has 150 high impact publications, authored eight books, ten book chapters, completed five sponsored research projects and has three granted and two filed Indian patents. He has delivered 49 invited lectures, chaired 37 scientific sessions, presented 43 papers in the conferences and developed 10 e-contents for CEC-MHRD. Prof. Kashaw is recipient of Raman PDF, Outstanding oral presentation award, Young Scientist Award by APP, Best teacher award in Pharm. Chemistry by APTI-M.P. branch, Research Excellence Award by Institute of Scholars, best researcher award by Nirali Publication in association with APTI and forty eight awards as co-author with their students. He is a life member of many learned societies and has organized many training programmes and conferences. His total citations are 6892, h-index 34 and i10 of 70. Dr. Kashaw has supervised seven PhD and seventy M. Pharm students. His area of expertise is Artificial Intelligence, molecular modeling and medicinal chemistry.
Prof. (Dr.) Sandeep Gangrade is a distinguished academician and researcher at SAM Global University, Raisen, M.P. He holds dual Ph.D. degrees in Drug Chemistry and Organic Chemistry, along with two M.Sc. degrees. With over 24 years of experience in academics, industry, and R&D, he brings deep interdisciplinary expertise. Dr. Gangrade has contributed significantly to pharmaceutical sciences and chemical research. He is known for his innovative teaching methods, research publications, and leadership in academia. His work bridges the gap between industry application and academic excellence.
Lalbihari Barik, (Senior Member IEEE), Associate Professor, King Abdulaziz University, received a Ph.D. in Computer Science and has more than 25 years of experience in industry and academia. His expertise lies in Java, Network Technologies, Cloud Computing, AI, IoT, Intelligent Tutoring Systems, and adaptive intelligent educational systems in a multiagent environment development. He received the "IBM Drona Award" and "Developer Super Star" organized by IBM. He also received Certificate of Appreciation for outstanding academic performance and contribution to King Abdulaziz University, KSA. He is a resource person for numerous workshops on open-source software, process mining, and more. He has successfully obtained research grants and has published and presented numerous research papers in national and international journals and books.
