A structured learning path for becoming an LLM expert with little programming or ML background. The guide covers foundational concepts, fine-tuning techniques, retrieval-augmented generation (RAG), and strategies for staying current with rapidly evolving LLM advancements. It curates free and paid resources including videos, courses, and books to support learners at various levels.