Artificial intelligence is transforming the future of gaming - from autonomous NPCs and dynamic storytelling to self-learning game opponents and procedural worlds. The AI for Game Design Agent certification equips you with hands-on skills to design and deploy intelligent game agents that think, learn, and react in real time.

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Recommended experience
What you'll learn
Build Intelligent Game Agents: Create reactive AI NPCs with Python, Pygame, and Unity for engaging gameplay.
Apply Core AI Techniques: Use reinforcement learning, FSMs, behavior trees, and A* pathfinding for adaptive NPCs.
Master Game AI Logic: Implement decision-making, perception, and movement systems that respond to player actions.
Capstone & Certification Exam: Develop an AI game agent in 2D/3D and complete a proctored exam for credentials.
Skills you'll gain
Details to know

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November 2025
8 assignments
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There are 10 modules in this course
What's included
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5 videos1 assignment2 plugins
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5 videos1 reading1 assignment2 plugins
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5 videos1 reading1 assignment2 plugins
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4 videos1 reading1 assignment2 plugins
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5 videos1 assignment2 plugins
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2 videos1 reading1 assignment1 plugin
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1 reading
What's included
1 reading
Instructor

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Frequently asked questions
Basic coding familiarity is recommended, but beginners can follow guided exercises in Python and Pygame.
You'll practice with Pygame, Unity (C#), PlayCanvas, and OpenAI Gym environments for building and testing game agents.
Both — you’ll learn to build reactive NPCs, decision-making systems, and learning agents that enhance gameplay.
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Financial aid available,


