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Learn To Create Artificially Intelligent Games Using Python3

Learn to implement basic to advanced deep learning, artificial intelligence algorithms for real world games!
4.9
4.9/5
(12 reviews)
1,102 students
Created by

9.8

CourseMarks Score®

10.0

Freshness

8.9

Feedback

9.8

Content

Platform: Udemy
Video: 34h 23m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 5/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.9 / 10
We analyzed factors such as the rating (4.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.8 / 10
Video Score: 10.0 / 10
The course includes 34h 23m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
12 resources.
0 exercise.
0 test.

Table of contents

Description

If you’re interested in learning how to make your own Artificially Intelligent games using Python, then this is the course for you!
This course is full of tutorial videos along with materials which one can run to get familiar with this discipline. You no longer need to read complex research papers and have a solid foundation in mathematics to get going. Just follow this course and materials and you’re on your way.
Let’s take a look at the structure of this course:
We are going to start with a simple game that implements popular board game algorithm: MinMax. In this game we are going to create TicTacToe and write an algorithm that plays against human player and tries to beat human player.
Next we are going to learn about gym module: a popular library which can be used to write and test our AI algorithms.
After that, we are going to learn about Bellman Equation and Dynamic Programming. We are going to learn how to find the optimal value of the states using Bellman equations through model dynamics. We are going to implement maze game to implement Q-learning algorithm.
Then, we are going to learn about Monte-Carlo Simulation. We are going to check how value function can be predicted using Monte Carlo simulation when model dynamics is unknown.
Similarly, we are going to implement following games throughout this course:
1. BlackJack game using Monte-Carlo and Q-Learning
2. Pacman using Deep Convolution Neural Network
3. Make unbeatable AI TicTacToe player using Tensorflow and Keras (Human Vs AI)
4. MinMax algorithm for Board game
General Q/A’s:
When most people hear the term artificial intelligence, the first thing they usually think of is robots. That’s because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.
Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

You will learn

✓ Learn to implement MinMax algorithm
✓ Learn about Q-Learning by implementing games
✓ Learn about Artificial Intelligence in games
✓ Learn about gym module
✓ Implement Deep Q-Learning
✓ Implement Deep convolution Q-Learning
✓ Learn about Tensorflow and Keras
✓ Learn to build complex AI player player
✓ Learn about Bellman equation and Dynamic Programming
✓ Learn about Monte-Carlo simulation
✓ Learn to implement Neural Network from Scratch

Requirements

• High school Mathematics: Basic Probability and Statistics
• No programming experience required.

This course is for

• Beginners who want to learn to create Artificially intelligent games
• Programmers who want to implement AI algorithms
• Beginners who want to learn complex algorithms in fun way by creating games
• Anyone who want to learn python, pygame (game development tool) and Artificial Intelligence in general.

How much does the Learn To Create Artificially Intelligent Games Using Python3 course cost? Is it worth it?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.

Does the Learn To Create Artificially Intelligent Games Using Python3 course have a money back guarantee or refund policy?

YES, Learn To Create Artificially Intelligent Games Using Python3 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Learn To Create Artificially Intelligent Games Using Python3 course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who is the instructor? Is Sachin Kafle a SCAM or a TRUSTED instructor?

Sachin Kafle has created 20 courses that got 2,873 reviews which are generally positive. Sachin Kafle has taught 179,872 students and received a 4.3 average review out of 2,873 reviews. Depending on the information available, Sachin Kafle is a TRUSTED instructor.
Founder of CSAMIN & Bit4Stack Tech Inc. [[Author, Teacher]]
Sachin Kafle is a Python and Java developer, ethical hacker and social activist. His interest’s lies in software development and integration practices in the areas of computation, quantitative fields of trade. His technological interests include Python, C, Java, C# programming. He has been involved in teaching since 2013.
Sachin is a engineer of Computer Science (B.E. Computer Science). He is also an instructor on his previously made some geek Youtube channel. He has been giving free classes mostly for students who have not been able to pay for expensive classes in his country.

9.8

CourseMarks Score®

10.0

Freshness

8.9

Feedback

9.8

Content

Platform: Udemy
Video: 34h 23m
Language: English
Next start: On Demand

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