Artificial Intelligence for Simple Games (Udemy.com)

Learn how to use powerful Deep Reinforcement Learning and Artificial Intelligence tools on examples of AI simple games!

( 7 Reviews )

Created by: Jan Warchocki

Produced in 2021

What you will learn

SOLVE THE TRAVELLING SALESMAN PROBLEM
Understand and implement Genetic Algorithms
Get the general AI framework
Understand how to use this tool to your own projects
SOLVE A COMPLEX MAZE
Understand and implement Q-Learning
Get the right Q-Learning intuition
Understand how to use this tool to your own projects
SOLVE MOUNTAIN CAR FROM OPENAI GYM
Understand and implement Deep Q-Learning
Build Artificial Neural Networks with Keras
Use the environments provided in OpenAI Gym
Understand how to use this tool to your own projects
SOLVE SNAKE
Understand and implement Deep Convolutional Q-Learning
Build Convolutional Neural Networks with Keras
Understand how to use this tool to your own projects

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 78 / 100

Course Description

Ever wish you could harness the power of Deep Learning and Machine Learning to craft intelligent bots built for gaming?

If you're looking for a creative way to dive into Artificial Intelligence, then Artificial Intelligence for Simple Games' is your key to building lasting knowledge.

Learn and test your AI knowledge of fundamental DL and ML algorithms using the fun and flexible environment of simple games such as Snake, the Travelling Salesman problem, mazes and more.

1. Whether you're an absolute beginner or seasoned Machine Learning expert, this course provides a solid foundation of the basic and advanced concepts you need to build AI within a gaming environment and beyond.

2. Key algorithms and concepts covered in this course include: Genetic Algorithms, Q-Learning, Deep Q-Learning with both Artificial Neural Networks and Convolutional Neural Networks.

3. Dive into SuperDataScience's much-loved, interactive learning environment designed to build knowledge and intuition gradually with practical, yet challenging case studies.

4. Code flexibility means that students will be able to experiment with different game scenarios and easily apply their learning to business problems outside of the gaming industry.

AI for Simple Games' Curriculum

Section #1 Dive into Genetic Algorithms by applying the famous Travelling Salesman Problem to an intergalactic game. The challenge will be to build a spaceship that travels across all planets in the shortest time possible!

Section #2 Learn the foundations of the model-free reinforcement learning algorithm, Q-Learning. Develop intuition and visualization skills, and try your hand at building a custom maze and design an AI able to find its way out.

Section #3 Go deep with Deep Q-Learning. Explore the fantastic world of Neural Networks using the OpenAI Gym development environment and learn how to build AIs for many other simple games!

Section #4 Finish off the course by building your very own version of the classic game, Snake! Here you'll utilize Convolutional Neural Networks by building an AI that mimics the same behavior we see when playing Snake.Who this course is for:

Anyone interested in beginning their AI journey
Anyone interested in creating an AI for games
Anyone looking for flexible tools to solve many kinds of Artificial Intelligence problems
A data science enthusiast looking to expand their knowledge of AI

Time: 12.5h

Instructor Details

Jan Warchocki

3.9 Rating
7 Reviews

Hi! My name is Jan Warchocki and I'm an Artificial Intelligence specialist from Poland.

Around two years ago I have started my AI journey with SuperDataScience and Hadelin de Ponteves' courses on Udemy. Since then I have created multiple AI projects on my own, which are based on subjects such as Reinforcement Learning and Deep Learning. By building those models I have broadened my experience and knowledge on these topics.

Today I would like to share with you the knowledge that I have gained throughout my journey. I sincerely hope that I will encourage you to start your own AI journey!Hi there,
We are the SuperDataScience Social team. You will be hearing from us when new SDS courses are released, when we publish new podcasts, blogs, share cheatsheets and more!
We are here to help you stay on the cutting edge of Data Science and Technology.
See you in class,
Sincerely,
The Real People at SuperDataScience

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Reviews

3.9

7 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Charles McCullough

The class content seems O.K, but the bonus material for signing up early was a real gimmick. I have actually purchased other classes from this instructor, so I'm wondering what I didn't get that was a bonus for that class.

By Rohan Kumar

I am here mainly to learn about environment creation around Q learning and deep-Q learning , hope this course will be able to guide me on how I can build custom environments to leverage the power of AI.

By Sharik Shaikh

This is mind glowing course. It worth much more than what you are paying. It is very beginner friendly and the way instructors are teaching. It becomes very very simple and easy. GET IT NOW ;) The more you ask for rating the more time ill write. IT IS AWESOME

By Stu Miller

Good course. In the beginning of the course, the concepts are explained nicely using visual examples, and then the code is built in pieces with great explanations. But as I got to Deep Q-Learning, the explanations were not as clear. I continued anyway but I did not feel like I was learning anymore.

By Joe Horacki

I really enjoyed this course. Unlike other courses in this series, the code displayed worked perfectly. I was able to focus on the material being taught and not trying to figure out what had changed in the code. The coding section was broken into small little bite sized videos and the instructor made a point of keeping everything well organized and pertinent to the topic in the intuition sections - even going so far as to name variables the same as the variables in the formulas. A really excellent course!

By Gautham K

A very good course , concepts were taught first and then a hands on tutorial was also given , incase if we have doubt , the instructor is also responding to our queries soon , thanks for the course , I enjoyed and learnt Reinforcement Learning

By Sornsama Phithak-Annop