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AI techniques for navigation, physics, and decision-making in game development
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Realistic NPC behaviors and dynamic movement systems for immersive gameplay
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Hands-on coding projects focused on practical AI integration and implementation
AI is revolutionizing game development by enabling intelligent, dynamic NPC behavior. This course starts with AI fundamentals, covering vectors, pathfinding, and physics-based movement. You’ll explore key techniques like the A* algorithm, navigation meshes, and state machines to program characters that react realistically. Hands-on coding exercises reinforce core AI concepts in real-world applications.
Advancing further, you’ll dive into behavior trees, GOAP, and crowd simulation to create NPCs that patrol, chase, and evade. You’ll develop AI-driven vehicles, simulate lifelike agent interactions, and implement steering behaviors for natural movement. The curriculum also covers finite state machines, graph-based AI, and procedural decision-making, ensuring a strong foundation in AI-driven game mechanics.
By the end of this course, you’ll have built AI systems that bring NPCs and vehicles to life across multiple game genres. Whether designing open-world adventures, RTS games, or AI-driven simulations, you’ll gain essential skills to create immersive, responsive AI. Through structured learning and real-world projects, this course ensures both theoretical depth and practical mastery of AI-driven game development.
This course is ideal for beginner and intermediate game developers who want to integrate AI into their Unity projects. It is suited for those with basic Unity and C# experience, looking to create intelligent NPCs and immersive game environments. Whether you're a hobbyist, student, or aspiring game developer, this course provides hands-on experience in AI-driven gameplay mechanics. With step-by-step guidance, even those new to AI can grasp essential concepts, while more experienced learners can refine their understanding of advanced techniques.
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Implement AI-driven navigation with Unity's pathfinding tools
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Apply physics-based movement for realistic character control
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Create adaptive NPCs using state machines and behavior trees
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Develop vehicles that navigate environments dynamically
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Build crowd simulations with realistic AI agent behaviors
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Use goal-oriented AI to enhance NPC decision-making
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