Artificial intelligence (AI) has evolved from a theoretical pursuit within computer science into one of the most transformative forces shaping modern society.
This book aims to guide readers through the core principles, methodologies, architectures, and applications of AI, beginning with classical symbolic AI and progressing towards modern data‑driven and learning‑based approaches. Rather than treating AI as a collection of isolated techniques, this text presents it as an integrated discipline built on knowledge representation, reasoning, search, planning, learning, and intelligent decision‑making.

Salient features

Ideal for all B.E., B.Tech, and B.Sc. (Computer Science) students
All concepts explained in detail with examples, code snippets, and illustrations
Includes hands‑on exposure to Python programming, Jupyter Notebook, and Prolog‑based AI problem solving
Provides over 340 mutiple choice and short answer questions
Android app with solutions to all exercise questions, additional chapter-wise exercises and solutions, case studies, capstone projects, chapter-wise PPTs, and more