Project
Tic-Tac-Toe with AI (Python)
Challenging
1177 completions
~ 20 hours
4.4Build a Tic-Tac-Toe game with dynamic AI difficulty levels, from random moves to advanced strategies like the minimax optimization.
Provided by
JetBrains Academy
About
Everybody remembers this paper-and-pencil game from childhood: Tic-Tac-Toe, also known as Noughts and Crosses or X's and O's. A single mistake usually costs you the game, but thankfully it's simple enough that most players discover the best strategy quickly. Let’s program Tic-Tac-Toe and create an AI opponent to do battle with!
Graduate project
This project covers the core topics of the Python OOP course, making it sufficiently challenging to be a proud addition to your portfolio.
At least one graduate project is required to complete the course.
What you'll learn
Once you choose a project, we'll provide you with a study plan that includes all the necessary topics from your course to get it built. Here’s what awaits you:
Learn how to work with the table and its coordinates.
Create an easy difficulty level where the computer just makes random moves: simple to write and not too challenging to beat.
Choose whether you want to play with a friend or take a break and watch computers battle it out!
It's time to add a medium difficulty level. This AI should be a lot harder to beat! Are you up to the challenge?
Oh no, what have we created here? An unbeatable AI monster! Indeed, this complex algorithm guarantees a win or a draw.
Reviews
DL
Daniel Lopez3 months ago
To maximize functions and use GLOBAL variables, learning the difference between minimax and additionally alpha-beta minimax (it's more than what was asked). A great experience.
5 months ago
During this project, I learned how to implement different levels of AI logic, from simple random moves to a more advanced strategy using the minimax algorithm. I also gained a better understanding of game state evaluation and recursive thinking.
Zelandini Borromeu Guterres
8 months ago
I liked it, but I really thought there was AI involved. But it was just algorithms implemented
4.4
Learners who completed this project within the Python OOP course rated it as follows: