Artificial Intelligence I: Basics and Games in Java course

Artificial Intelligence I: Basics and Games in Java download

Introduction

Holczer Balazs creates this Udemy course. In this course, you can learn all about basic and advance features of Artificial Intelligence. You can get required professional skills for Artificial Intelligence to deal with real world AI projects. After taking this course, you should be able to design your own smart applications, AI, genetic algorithms, pruning, heuristics and metaheuristics algorithms.

Short Description:

Now you can get all basic and advance features of AI for games development using Java. Learn all methods of AI with different algorithms. Understand how to deal with AI environment for developing algorithms.

Enrolled Students

Artificial Intelligence I: Basics and Games in Java Course has more than 5.2 k students with 499 good ratings.

Last Update

This course Last updated in April 2019.

Requirements

The basic requirements of Artificial Intelligence I: Basics and Games in Java course are basic knowledge of math, AI algorithms, Python structure or syntax and English language as the language of instructor is English and complete attention during lectures.

Tools

For this Free Udemy course, you can use AI tools like Python IDE and Spyder. You must have a PC with good specs and strong internet connection. You can also use any online libraries for data analysis.

What You will Learn

 This course provides professional help for computer science students who enrolled in Artificial Intelligence course and fresh graduates of Data Science.

 This Udemy free course is designed for you, if you want to become a fully-fledged AI expert. Download this course and learn required Artificial Intelligence skills.

 Understand how AI algorithms work and all the theory behind these Algorithms.

 The good thing for this Udemy free course is that all the tutorials are designed in a simple way, one can understand easily. You can get personal help from these Instructors during office time and using Chat.

 If you want to understand all about Graph-Search Algorithms, Basic Optimization Algorithms, Meta-Heuristic, Tabu Search, Simulated Annealing, Genetic Algorithms, Particle Swarm Optimization and Minimax Algorithm than this course is for you.

 Now you become an expert in AI games using Java language. Learn the basics of genetic algorithms or pruning for your smart applications.

 In this course, you can learn path finding algorithms, graph traversal (BFS and DFS), enhanced search algorihtms and A* search algorithm.

 Learn all about basic optimization algorithms, brute-force search, stochastic search and hill climbing algorithm.

 Understand all the fundamental concepts of heuristics and meta-heuristics, tabu search, simulated annealing, genetic algorithms and particle swarm optimization.

 Artificial Intelligence I: Basics and Games in Java course also provides practical examples like game trees, applications of game trees in chess and tic tac toe game and its implementation

 This Artificial Intelligence course is best for Game developers and Java programmers.

 After taking this Udemy free course, you can build any AI game project using your favorite AI techniques.

Language

This Udemy free course has English language with English subtitles.

Gift of this Course

You can also get 7.5 hours of video lectures, more than 2 helping articles, no practice test and 1 downloadable resource for Artificial Intelligence.

Size

Estimated size of Artificial Intelligence I: Basics and Games in Java course is 1.24 GB.

Skills you need to become an AI Hero

smart applications, AI, genetic algorithms, pruning, heuristics and metaheuristics

Important Topics

Graph-Search Algorithms, Meta-Heuristic Optimization Methods, Tabu Search, Simulated Annealing, Genetic Algorithms, Particle Swarm Optimization and Minimax Algorithm - Game Engines

Knowledge Area

On Udemy platform, the main category of this course is Development and sub category is Data Science and Artificial Intelligence

Review

Adolfo Terrón is student of this course and he says “Good theoretical explanations of algorithms. Support of graphs make them much more visual and understandable. But it fails when it comes into the practice, He writes Java samples as if he had learnt them by heart instead of following an iterative process. That way, you get lost frequently since you don't have the final picture.”

Url of Artificial Intelligence I: Basics and Games in Java course

https://www.udemy.com/course/artificial-intelligence-games-in-java/ .

Category Name:

Development

Instructor Name:

Holczer Balazs created Artificial Intelligence I: Basics and Games in Java course. These instructors also create more than 30 courses with 134k students and hundreds of good reviews. The expertise of these instructors are Artificial Intelligence, Python, parallel computing and Java development.



Description:

Free Download Artificial Intelligence I: Basics and Games in Java course and increase your AI practical skills. This course is designed for Computer Science students and games lovers. Learn practical examples of AI games using Java.

Keywords

Artificial Intelligence I: Basics and Games in Java, Udemy Artificial Intelligence courses


Scroll to Top