This repository offers a structured learning path for artificial intelligence, developed from five years of teaching experience. It provides nearly 200 hands-on cases and projects spanning Python, mathematics, machine learning, data analysis, deep learning, computer vision, and natural language processing. The collection includes配套教材 (supporting textbooks) and covers popular frameworks including PyTorch, TensorFlow, Keras, and Caffe. It is designed for beginners seeking employment-oriented practical skills in AI.