AI for Games – Creating Intelligent & Engaging Game Characters
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AI for Games introduces the core artificial intelligence techniques used in modern video games. The course focuses on gameplay-oriented AI rather than academic AI, covering decision-making systems, movement, perception, and behavior control.
Learners will design and implement NPC behaviors using finite state machines, behavior trees, pathfinding algorithms, and utility-based AI. By the end of the course, participants will be able to create believable, responsive, and performance-efficient game AI systems.
Learning Outcomes:
✔ Understand the role of AI in games
✔ Implement NPC decision-making systems
✔ Build finite state machines and behavior trees
✔ Apply pathfinding algorithms like A*
✔ Create perception systems for game characters
✔ Design combat, patrol, and navigation behaviors
✔ Optimize AI performance for real-time games
✔ Build intelligent NPC-driven gameplay

- Hands-on AI behavior implementation
- Game-focused AI techniques
- Engine-agnostic concepts
- Real-world NPC behavior examples
- Mini AI projects
- Completion certificate
- Game programmers
- Game designers with technical focus
- Intermediate game developers
- Students pursuing game AI roles
- Developers transitioning into game AI
- Laptop or desktop computer
- Basic programming knowledge
- Understanding of game loops and logic
- Basic mathematics and problem-solving skills
- 8 Sections
- 8 Lessons
- 4 Weeks
- Introduction to Game AI1
- Decision-Making Systems1
- Behavior Trees & Utility AI1
- Movement & Pathfinding1
- Perception & Awareness Systems1
- Combat & Interaction AI1
- AI Optimization & Debugging1
- Game AI Design Project1

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