DevelopmentAdded Sep 29, 2026

Building Chess & Tic Tac Toe Game with Pygame

Build interactive chess and tic tac toe games using Pygame. Train your Chess with Monte Carlo Tree Search algorithm

3.8 / 5.0
7 ratings
3h 11m 24s
On-demand
English
Audio
Christ Raharja
Instructor
Building Chess & Tic Tac Toe Game with Pygame100% OFF
  • 3h 11m 24s on-demand video
  • Certificate of Completion
  • Mobile, TV & Desktop Access
  • Full Lifetime Access

What you'll learn

Learn how to build interactive chess game using Pygame
Learn how to build interactive tic tac toe game using Pygame
Learn how to create Monte Carlo Tree Search algorithm and implement it to the chess game
Learn how to create chess game logics, create event handling, and input handling
Learn how to create tic tac toe game logics, create event handling, and input handling
Learn how to initialize Pygame window, set the size, load images, create event handling, and input handling
Learn how to create function to make random chess move
Learn how to implement chess move logics
Learn how to create function to check if a player has won the game
Learn the basic fundamentals of Pygame, such as getting to know its use cases, main features, and some game project ideas that can be built using Pygame
Learn the basic rules of chess and tic tac toe game. Additionally, learn how to implement the games logics into code
Learn about four game testing objectives, functionality testing, user interface testing, compatibility testing, and performance testing
Learn how to build jumping games using Python and Pygame

Course Description

Welcome to Building Chess & Tic Tac Toe Game with Pygame course. This is a comprehensive project based course where you will learn step by step on how to build engaging chess and tic tac toe games using Pygame. This course is a perfect combination between Python and game development, making it an ideal opportunity for you to exercise your programming skills by building interactive game projects. Throughout this course, you'll learn essential skills needed by a game developer, laying a solid groundwork for your future projects. In the introduction session, you will learn the basic fundamentals of Pygame, such as getting to know its use cases, main features, and some game project ideas that can be built using Pygame. Then, in the next section, you will learn about the rules of chess and tic tac toe game and most importantly understand how to implement the logic into the code. Before starting the projects, we will also learn how to operate Pygame and get to know some basic concepts, for example, you will learn how to initialize a Pygame window, you will learn how to set the size of the Pygame window, and you will also learn how to change background color. After learning those basic concepts, we will start the project section. In the first project, we will build an interactive chess game using Pygame. In this section, you will learn how to create a graphical user interface for the chess game, incorporating features like piece movement and piece elimination. Additionally, you'll delve into implementing game logic to enforce rules such as check, checkmate, and stalemate, culminating in a fully functional and interactive chess experience. After completing the first project, we will move on to the second project where you will build an engaging tic tac toe game using Pygame. In this section, you will learn how to develop the game logic for Tic Tac Toe, including checking for win conditions and managing the game state. Additionally, you'll explore methods for handling player input, designing intuitive user interfaces, and refining the game mechanics to ensure a seamless and enjoyable Tic Tac Toe experience. After building a chess and tic tac toe game, we will be conducting testing to make sure that the game has been fully functioning and the game is easy to use. We will be mainly focusing on four testing objectives, those are functionality testing, user interface testing, compatibility testing, and performance testing.

First of all, before getting into the course, we need to ask ourselves this question: why should we build a chess and tic tac toe game? Well, here is my answer. These classic games do not only provide entertainment but also serve as excellent educational tools for improving your problem-solving skills and understanding fundamental game mechanics. By creating these game projects from scratch, you will gain valuable insights into programming logic, user interface design, and game development principles, which will set a solid foundation for more complex projects in the future. Additionally, mastering these skills can open doors to freelance gigs or employment opportunities in the game development industry.

Below are things that you can expect to learn from this course:

  • Learn the basic fundamentals of Pygame, such as getting to know its use cases, main features, and some game project ideas that can be built using Pygame

  • Learn the basic rules of chess and tic tac toe game. Additionally, learn how to implement the games logics into code

  • Learn how to initialize Pygame window, set the size, load images, create event handling, and input handling

  • Learn how to build interactive chess game using Pygame

  • Learn how to create function to make random chess move

  • Learn how to create chess game logics, create event handling, and input handling

  • Learn how to implement chess move logics

  • Learn about four game testing objectives, functionality testing, user interface testing, compatibility testing, and performance testing

  • Learn how to create Monte Carlo Tree Search algorithm and implement it to the chess game

  • Learn how to build interactive tic tac toe game using Pygame

  • Learn how to create tic tac toe game logics, create event handling, and input handling

  • Learn how to create function to check if a player has won the game

  • Learn how to build jumping games using Python and Pygame

Who this course is for:

  • People who are interested in building interactive chess and tic tac toe game using Pygame
  • People who are interested in developing Monte Carlo Tree Search algorithm

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