AI Pathfinding and Decision-Making in Games
( 24 Modules )

Module #1
Introduction to AI in Games
Overview of AI in game development, importance of pathfinding and decision-making

Module #2
Pathfinding Fundamentals
Basic concepts of pathfinding, types of pathfinding, and common algorithms

Module #3
Graph Theory for Pathfinding
Introduction to graph theory, graph representations, and graph traversal

Module #4
Dijkstras Algorithm
Implementation and optimization techniques for Dijkstras algorithm

Module #5
A* Algorithm
Implementation and optimization techniques for A* algorithm

Module #6
Flood Fill Algorithm
Implementation and optimization techniques for Flood Fill algorithm

Module #7
Pathfinding in 2D Spaces
Pathfinding techniques for 2D game environments

Module #8
Pathfinding in 3D Spaces
Pathfinding techniques for 3D game environments

Module #9
Node-Based Pathfinding
Implementation and optimization techniques for node-based pathfinding

Module #10
Waypoint Navigation
Implementation and optimization techniques for waypoint navigation

Module #11
Decision-Making Fundamentals
Basic concepts of decision-making, types of decision-making, and common techniques

Module #12
Finite State Machines (FSMs)
Implementation and optimization techniques for FSMs

Module #13
Behavior Trees
Implementation and optimization techniques for behavior trees

Module #14
Blackboard Architecture
Implementation and optimization techniques for blackboard architecture

Module #15
Rule-Based Systems
Implementation and optimization techniques for rule-based systems

Module #16
Decision-Making in 2D Spaces
Decision-making techniques for 2D game environments

Module #17
Decision-Making in 3D Spaces
Decision-making techniques for 3D game environments

Module #18
Combining Pathfinding and Decision-Making
Integrating pathfinding and decision-making techniques for complex AI behaviors

Module #19
AI Evaluation and Debugging
Techniques for evaluating and debugging AI pathfinding and decision-making

Module #20
Optimization Techniques for AI
Optimization techniques for improving AI performance and reducing computational complexity

Module #21
AI in Multiplayer Games
Challenges and opportunities of implementing AI in multiplayer games

Module #22
AI in Open-World Games
Challenges and opportunities of implementing AI in open-world games

Module #23
Advanced AI Topics
Coverage of advanced AI topics, including machine learning and genetic algorithms

Module #24
Course Wrap-Up & Conclusion
Planning next steps in AI Pathfinding and Decision-Making in Games career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

AI Pathfinding and Decision-Making in Games ( 24 Modules )

AI Pathfinding and Decision-Making in Games
( 24 Modules )