... feel like cardboard cutouts. The math gatekeeping was real. Then I discovered something that made me angry: the tools had evolved, but the learning resources hadn't. Unity ML-Agents lets you train reinforcement learning agents with visual tools. Unreal behavior trees are drag-and-drop. The complexity is already abstracted away. But every course still teaches like you're becoming an AI researcher instead of a game developer who wants to ship things. So I teamed up with some ... ... experts and built what I needed two years ago. AI Powered Game Dev For Beginners What's inside: Train NPCs that learn from player behavior (no, really they adapt) Build intelligent worlds with procedural AI systems Unity ML-Agents, Unreal

... games since forever. Every tutorial? "Let's start with linear algebra and gradient descent." I'm not a math person. I quit three times over two years. Then I discovered something: modern game engines (Unity, Unreal) have AI tools that hide the complexity. You can train an NPC to learn from player behavior without writing a single line of calculus. Nobody told me that. Every course assumed I wanted to become an AI researcher. So I built what I wished ... ... actually is: No PhD required. Zero "let's derive backpropagation" energy. You build NPCs that learn, train reinforcement agents, make worlds that react 50+ hours of "watch me fail so you don't have to" content Unity ML-Agents, Unreal