LocalLLaMA seeks LLM training, fine-tuning courses

This is less a “course recommendation” thread than a reality check on how people actually learn LLM work: by combining current docs, notebooks, and a few durable references instead of waiting for a perfect curriculum.

• –Unsloth’s docs are the most actionable recommendation here because they map directly to local fine-tuning workflows on constrained hardware.
• –The real learning curve is end-to-end: environment setup, dataset formatting, LoRA/QLoRA, evaluation, then deployment.
• –Static courses can help with concepts, but the tooling moves fast enough that current docs and repos age better than old video lessons.
• –The thread also reflects the local-model mindset: most people are not training frontier models from scratch, they are adapting existing ones on PCs.