This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
In this course, you'll dive deep into the essentials of AI in game development, focusing on the integration of Unity 6. Starting with an introduction to artificial intelligence, you’ll build a strong foundation in vectors, AI pathfinding, and game physics. You will also work hands-on with core algorithms like A* and explore the mathematics and physics that drive AI behaviors in game worlds.
As the course progresses, you will implement complex behaviors such as movement, decision-making, and pathfinding. Topics like finite state machines, navigation meshes, goal-driven action planning (GOAP), and behavior trees will give you a robust understanding of game AI mechanics. By applying these skills, you'll develop a range of AI-controlled systems, from simple NPC movement to advanced crowd simulations and autonomous agents.
This course is designed for those who want to build real-world skills in game AI using Unity 6. Whether you are an aspiring game developer or just curious about AI, this course will provide you with the tools and knowledge to integrate AI into your game projects successfully. No prior AI or game development experience is required, but familiarity with Unity basics will be beneficial.
Projet d'apprentissage appliqué
The course includes a series of hands-on projects where you'll apply AI principles to build intelligent game agents, develop crowd simulations, and integrate complex AI systems like pathfinding, goal-oriented action planning, and behavior trees. You’ll create real-world applications that challenge your understanding and enhance your development skills.
