Introduction to Artificial Intelligence accompanies AI courses being rolled out at universities worldwide. The title covers all the modules needed for a non-technical introduction to AI concepts, for students across disciplines. This practical curriculum is now available through MyLab, Pearson’s premier digital courseware, which pairs an eTextbook with AI tools and comprehensive assessments.
Requiring only basic digital literacy, the text introduces technical concepts using intuitive explanations instead of overly mathematical analysis. By linking foundations to modern uses, the authors show how AI is shaping society and industry, across regions and sectors, while highlighting efforts to enforce responsible uses of AI. They cover all the classic concepts, including rule-based AI, machine learning, deep learning, and vision and language, with up-to-date coverage of LLMs, prompt engineering, multimodal generation and agentic AI.
Table of Contents:
- Introduction to Artificial Intelligence
- Machine Learning
- Artificial Neural Network and Deep Learning
- Computer Vision
- Natural Language Processing and Large Language Models
- Generative Artificial Intelligence
- Ethics and Regulations of Artificial Intelligence
- Industrial Applications of AI
About the Author :
About our authors Dr. Saptarsi Goswami is currently working as an assistant professor and Head of the Department of Computer Science, Bangabasi Morning College, affiliated with the University of Calcutta. He has a total of 22 years of experience—11 years in academics and 11 years in the IT industry—at companies such as PwC, Cognizant and Tata Infotech. He earned his B.Tech. from NIT, Jaipur, and his M.Tech. and PhD from the University of Calcutta. He is a visiting faculty and research supervisor at the A.K. Choudhury School of IT, University of Calcutta, and has been a founding member of the Data Science Lab, University of Calcutta. Saptarsi has more than 75 publications in reputed international journals and conferences with an H-Index of 19.
He is deeply involved in many community initiatives in data science, machine learning and artificial intelligence. His YouTube lectures on AI and machine learning are part of the National Digital Library, India, and he was adjudged Person of the Week by NDL in July 2020. He is an executive member of the Society for Data Science (S4DS). He regularly speaks at different industry and academic forums and writes for Towards Data Science. He has supported the Higher Education Department, Government of West Bengal, for various IT projects, as well as capacity-building initiatives in an advisory role.
Dr. Amit Kumar Das has been working in the IT industry, and in academic research and teaching in data science, for the past 27+ years. Currently, he is working as Dean of Industry Consultancy and Professor, Department of Computer Science and Engineering, Institute of Engineering & Management. He is also co-founder and director of a technology startup, Quantyra Analytics Pvt Ltd., focused on developing data-driven decision-making solutions. Amit has his PhD from the University of Calcutta and an M.Tech. from Birla Institute of Technology & Science, Pilani. Before that, he graduated with a degree in electrical engineering from Bengal Engineering College, Shibpur (currently known as IIEST).
Amit has many research papers on data analytics and machine learning published in international journals and conferences. He has co-authored textbooks on artificial intelligence, data science, machine learning, deep learning and Big Data, published by Pearson, primarily for undergraduate students. He also has been a regular speaker on data analytics and machine learning. He is a senior member of IEEE.
Prior to his current role at Institute of Engineering & Management, Amit was working as Principal Director at LTIMindtree. In the past, Amit worked at Cognizant Technology Solutions for over a decade, at Tata Consultancy Services and as Chief Technology Officer of a tech startup. Amit has also provided consulting in data science to companies such as Rebaca Technologies and Dirac Business Solutions Pvt. Ltd., as well as IT program management support to the Department of Higher Education, Government of West Bengal.
Prof. Amlan Chakrabarti is a full professor at the A.K. Choudhury School of Information Technology at the University of Calcutta and an adjunct professor at IIIT Delhi. He is a visiting professor in the Department of AI, IIT Kharagpur. He was a post-doctoral fellow at the School of Engineering, Princeton University, US, from 2011 to 2012. He has almost 20 years of experience in engineering education and research. He is the recipient of the DST BOYSCAST fellowship award in Engineering Science (2011), the Indian National Science Academy (INSA) Visiting Faculty Fellowship (2014), the JSPS Invitation Research Award (2016), the Erasmus Mundus Leaders Award (2017), the Hamied Visiting Professorship from the University of Cambridge, UK (2018), and the prestigious Siksha Ratna Award from the Department of Higher Education, Government of West Bengal (2018). He has also served in various capacities at higher education organizations, both at the national and international levels.
Amlan has published around 200+ research papers in refereed journals and conferences and has supervised 20+ PhD students. He is Series Editor of Springer Transactions on Computer Systems and Networking, Associate Editor of the Elsevier Journal of Computers and Electrical Engineering and Guest Editor of the Springer Journal of Applied Sciences. He is a senior member of IEEE and ACM, an IEEE Computer Society Distinguished Visitor, a Distinguished Speaker of ACM, Vice Chair of the IEEE CEDA India Chapter, Vice President of the Data Science Society and a Life Member of CSI India. His areas of research are machine learning, computer vision, reconfigurable computing, cyber-physical systems, VLSI CAD and quantum computing.
Dr. Nofe Alganmi is an Associate Professor of Artificial Intelligence and Bioinformatics on the Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia, where she currently serves as Director of the PhD Program in Computer Science and Head of the Bioinformatics Unit at the Institute of Genomic Medicine Sciences (IGMS). She has established an interdisciplinary academic and research career at the intersection of advanced AI, computational genomics and precision medicine. Her work focuses on intelligent systems, machine learning, foundation models and AI-driven biomedical research, with contributions to computational genomics and precision medicine.
Dr. Alganmi established the first genomic variant database at King Abdulaziz University and has led the development of bioinformatics pipelines and computational frameworks supporting genomic analysis and clinical interpretation. Dr. Alganmi has led multiple large-scale initiatives in AI literacy, digital transformation and AI-driven education. She has contributed to national initiatives to integrate artificial intelligence education into higher education through collaborations with government and private technology organizations. Her work emphasizes responsible AI adoption, interdisciplinary AI education and expanding access to advanced AI technologies for both technical and non-technical learners across diverse academic disciplines.
