Artificial intelligence- Minimax algorithm
- Development
- Mar 26, 2025

Artificial intelligence: Minimax algorithm, available at $29.99, has an average rating of 3.9, with 12 lectures, based on 10 reviews, and has 26 subscribers.
You will learn about The minimax algorithm The implementation of the Minimax algorithm in Python The Alpha-Beta pruning algorithm The implementation of the Alpha-Beta pruning algorithm in Python Artificial intelligence in video games Improving your Python knowledge through practice This course is ideal for individuals who are For those who want to learn the Minimax algorithm or For developers who want to introduce artificial intelligence into their games or For those who are interested in artificial intelligence It is particularly useful for For those who want to learn the Minimax algorithm or For developers who want to introduce artificial intelligence into their games or For those who are interested in artificial intelligence.
Enroll now: Artificial intelligence: Minimax algorithm
Summary
Title: Artificial intelligence: Minimax algorithm
Price: $29.99
Average Rating: 3.9
Number of Lectures: 12
Number of Published Lectures: 12
Number of Curriculum Items: 12
Number of Published Curriculum Objects: 12
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
In this artificial intelligence course, we will implement the Minimax algorithm and its optimized version, the Alpha Beta pruning algorithm.
We will apply the algorithm to the tic-tac-toe game, creating an artificial intelligence which cannot be beaten. The algorithm will be implemented in a generic way, so that it can be easily applied to other games.
This course is aimed at developers who would like to add artificial intelligence into their games, those who would like to implement the Minimax algorithm, as well as students and artificial intelligence enthusiasts. This course also aims to be a stepping stone to more advanced courses in artificial intelligence, machine learning and deep learning.
This course, taught using the Python programming language, requires basic programming skills. If you don’t have the required foundation, I recommend getting up to speed by taking a crash course in programming (if you wouldd like, I offer a crash course in Python programming on Udemy).
Concepts covered:
The Minimax algorithm and its implementation in Python
The Alpha-beta pruning algorithm and its implementation in Python
Artificial intelligence in video games
The creation of artificial intelligence modules and frameworks
The concept of heuristic functions
Do not wait any longer before jumping into the world of artificial intelligence!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Minimax Algorithm
Lecture 1: Minimax Algorithm
Lecture 2: Pseudocode
Lecture 3: Generic API
Chapter 3: Implementation
Lecture 1: Minimax
Lecture 2: Game-state
Lecture 3: Tic Tac Toe
Lecture 4: User Interface (UI)
Lecture 5: Tests
Lecture 6: Finishing up
Chapter 4: Alpha-beta pruning & conclusion
Lecture 1: Alpha-beta pruning
Lecture 2: Conclusion
Instructors

Maxime Vandegar
Ingénieur de recherche
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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