In video games, artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-player characters (NPCs) similar to human-like intelligence. Artificial intelligence has been an integral part of video games 

The term "game AI" is used to refer to a broad set of algorithms that also include techniques from control theory, robotics, computer graphics and computer science in general, and so video game AI may often not constitute "true AI" in that such techniques do not necessarily facilitate computer learning or other standard criteria, only constituting "automated computation" or a predetermined and limited set of responses to a predetermined and limited set of inputs. The certification acts as a proof of your skills on professional social media like LinkedIn and for better job prospects.


Why should one take Game AI Developer Certification?

Earning Vskills Game AI Developer Certification can help candidate differentiate in today's competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.

This Course is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression.

Who will benefit from taking Game AI Developer Certification?

Job seekers looking to find employment in game development companies, or students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.


Apply for Game AI Developer Certification

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TABLE OF CONTENT


Artificial Intelligence in Games

  • Basics of AI
  • Exploring the Zero-Sum Games
  • Using the Minimax Algorithm
  • Create Your Own Tic-Tac-Toe Game with AI

Decision Trees in Games

  • What Is a Decision Tree?
  • Implementing Decision Trees in Your Game
  • Decision Trees for General Logic and AI Behavior
  • Writing a Battle City-Like Game AI
  • Putting It All Together – A Battle City-Like Game

Applying Finite-State Machines (FSM)

  • What Is a Finite-State Machine?
  • Implementing Finite State Machines
  • State Machines for General Logic and AI Behavior
  • Applying FSM Basis to the Pac-Man-Like Game

Movement and Pathfinding

  • Graphs for Pathfinding
  • Navigation Graphs
  • Implementing Graphs and Navigation Graphs
  • Pathfinding Algorithms
  • Implementing A*

Path Planning and Game Deployment

  • Path Planning
  • Point of Visibility in Use
  • Path Planner
  • Implementing a Path Planner Class
  • Putting It All Together – A Pac-Man-Like Game
“Exam scheduling to be done through user account” / “Exam once scheduled cannot be cancelled”
Date of Examination
07-Mar-2020
08-Mar-2020
21-Mar-2020
22-Mar-2020
04-Apr-2020
05-Apr-2020
18-Apr-2020
19-Apr-2020
02-May-2020
03-May-2020
16-May-2020
17-May-2020
06-Jun-2020
07-Jun-2020
20-Jun-2020
21-Jun-2020
04-Jul-2020
05-Jul-2020
18-Jul-2020
19-Jul-2020
Examination Time
01:00 PM - 02:00 PM
02:30 PM - 03:30 PM
04:00 PM - 05:00 PM
05:30 PM - 06:30 PM
10:00 AM - 11:00 AM
11:30 AM - 12:30 PM

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Tags: Game AI certification, Game AI course, Game AI certificate, Game AI, Artificial Intelligence, Games, Game programming, Game AI, Decision Trees, FSM