This repository consolidates study materials for Stanford’s CS 221 AI course, offering cheatsheets covering reflex-based, state-based, variable-based, and logic-based AI models. Topics include search algorithms, constraint satisfaction problems, Markov decision processes, and Bayesian networks. Materials are available in multiple languages (English, French, Turkish) and include an ultimate compilation cheatsheet combining all concepts.