ai-infra-curriculum/ai-infra-engineer-learning — reverse-engineered prompt

Build me a complete AI Infrastructure Engineer learning curriculum repo for someone with about 2 to 4 years of technical experience. It should teach people how to build and run production ML infrastructure, not just read theory.

I want a clear getting started guide, prerequisites check, a full curriculum overview, lessons, labs, quizzes, assessments, resources, and contribution docs. The course should cover foundations, cloud, containers, Kubernetes, data pipelines, MLOps, GPU computing, monitoring, infrastructure as code, and LLM infrastructure. Make it feel practical, with runnable walkthroughs, validation steps, cleanup notes, troubleshooting, and code stubs with TODO comments so learners actually build things.

Include three larger projects too, basic model serving, an MLOps pipeline, and an LLM deployment with RAG and a vector database. Keep the tone professional but encouraging, like a serious career track for AI infrastructure jobs.

Use Python where code is needed, and look up current docs online if you need to.