This book introduces the ideas and classic techniques that have emerged during the development of artificial intelligence. The book comprises 12 chapters, which can be broadly divided into 4 parts: The first part (Chapters 1-3) covers foundational knowledge, providing a simple introduction to the history and current state of AI (Chapter 1), data encoding techniques (Chapter 2), and mathematical knowledge required for AI (Chapter 3); The second part (Chapters 4-7) focuses on classic artificial intelligence, primarily introducing classical AI algorithms (Chapter 4), computer gaming (Chapter 5), logic and knowledge (Chapter 6), and intelligent agent robot technology (Chapter 7); The third part (Chapters 8-10) delves into machine learning techniques, mainly focusing on regression algorithms (Chapter 8), classification algorithms (Chapter 9), and typical unsupervised learning algorithms (Chapter 10); The fourth part (Chapters 11-12) primarily covers the concept of neural networks (Chapter 11) and deep learning techniques (Chapter 12).