Programming Computer Moves: Game AI Foundations

Ever wondered how games calculate their next move or how to program an opponent that plays back strategically? Building game AI is one of the best ways to sharpen your programming logic and understand decision-making systems. This text-only course guides you from absolute basics to implementing smart computer moves. You will transition from writing simple, predictable scripts to crafting strategic opponents that can analyze the board and select optimal moves. What you'll learn: Learn the foundational concepts of game states, move validation, and turn-based loops; Design simple decision-making logic using random selection and rule-based heuristics; Implement the classic Minimax algorithm to let the computer look ahead and play strategically; Practice writing clean, modern Python code utilizing type hints and structured data; Understand how to optimize decision speed using fundamental search optimization concepts. The course begins with core terminology and game representation before moving step-by-step through algorithmic logic and implementation. It is perfect for beginner programmers looking to explore game logic and AI foundations, with no advanced mathematical background required. Start reading now to master the mechanics behind the computer's move.