Python for AI Development
2-3 weeksSkills You'll Build
Python programming fundamentalsNumPy for numerical computing (familiar from game math)Python AI ecosystem overviewAsync programming patternsEnvironment management
Game Developer → AI Engineer
Game Developer to AI Engineer: From Game Engines to AI Systems
Your game development skills in GPU programming, real-time systems, and optimization translate directly to AI engineering. This path leverages your understanding of performance-critical systems and graphics programming to build high-performance AI applications. Move from creating game AI to building production AI systems.
3-5 months
Prerequisites
- Experience in game development (Unity, Unreal, or custom engines)
- Proficiency in C++, C#, or similar languages
- Understanding of GPU programming and shaders
- Experience with real-time systems and optimization
- Familiarity with 3D math and linear algebra
Your Learning Path
ML and Deep Learning Fundamentals
3-4 weeksSkills You'll Build
Machine learning core conceptsNeural networks and architecturesGPU acceleration for ML (familiar territory)Training vs inferenceModel selection and evaluation
LLM APIs and Integration
3-4 weeksSkills You'll Build
OpenAI and Claude API usagePrompt engineering for applicationsStreaming responses (like game networking)Error handling and retry logicCost optimization strategies
AI for Interactive Applications
3-4 weeksSkills You'll Build
Building conversational AI interfacesReal-time AI response systemsAI-powered content generationIntegrating AI into applicationsPerformance optimization for AI
RAG and Knowledge Systems
3-4 weeksSkills You'll Build
Vector databases and embeddingsBuilding knowledge-aware AIDocument retrieval systemsHybrid search implementationScaling retrieval systems
Portfolio and Career Transition
2-3 weeksSkills You'll Build
Building AI portfolio projectsShowcasing performance expertiseAI engineer interviewsNetworking in AI communityPositioning game dev experience