Hi HN,*I* built kernelspace - a free and interactive course that takes a backend engineer (like me) with java/python experience to the systems level required to work on LLM serving at scale. (Mostly an attempt for me to understand what everyone s talking about lately and also an attempt at staying up to date to current tech - career wise).It has: 1. 68 Lessons across 9 tracks, with a rust-from-zero ramp. 2. 8 rust labs - BPE tokenizer, KV block manager, radix cache, batching scheduler, a toy executor 3. 9 simulators running in browser (wasm) - roofline model, KV cache pressure, continuous batching dynamics 4. Fleet week - a simulated prod serving fleetAll progresss is local - there is no server (it s served from github pages, repo here https://github.com/praveer13/kernelspace)Feedback appreciated, and contributions welcome. I want to make this a really good course for me (and everyone else like me).* (OK, I had sol and kimi on it for most part)