freeCodeCamp.org. Long, theory-then-code course covering quantisation, LoRA, QLoRA, and full PEFT on Llama 2 and Gemma — on hardware most developers actually have. It is the closest thing to a "shadow somebody who has done this" experience on YouTube and lines up with the article's "you don't need a cluster" claim with concrete VRAM budgets.
Model names, pricing and capabilities change quickly. The course's base models (Llama 2, Gemma) are dated, but the LoRA, QLoRA and quantisation techniques it teaches transfer directly to current open-weight models. Use this for the decision pattern, then verify current model behavior before adopting it.
You will be able to run quantisation, LoRA and QLoRA fine-tunes end to end on hardware most developers already have.
Python plus basic ML tooling comfort; the course targets hardware most developers already have.
Last reviewed: May 18, 2026
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