This book serves as an introductory guide to artificial intelligence for novices. It employs straightforward language to elucidate fundamental concepts, developmental history, and primary methodologies of artificial intelligence. The text encompasses essential AI techniques, such as the definition of AI, implementations of neural networks (deep learning), computer learning in chess, optimal path findings, solving combinatorial optimization problems through random methods, statistical learning methods for classification and clustering, and the implementation of expert systems. Each technique is accompanied by illustrative problems with comprehensive solutions, aiding readers in comprehending and mastering the algorithms to tackle real-world issues effectively.