AlphaZero, a groundbreaking reinforcement learning algorithm developed by DeepMind, has demonstrated remarkable proficiency in mastering complex board games such as chess, Shōgi, and Go. The underlying algorithms and learning techniques employed by AlphaZero, particularly its use of deep neural networks and Monte Carlo Tree Search (MCTS), hold substantial potential for real-world applications across various domains.