Machine Learning Fundamentals Progression

via “llm-fundamentals-prerequisite-track”

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Unique: Explicitly marks fundamentals as optional and modular, allowing learners with existing ML knowledge to skip directly to Scientist/Engineer tracks. Most LLM courses require linear progression through basics; this enables flexible entry points.

vs others: More flexible than linear ML courses because prerequisites are optional; more focused than general ML curricula because resources are curated for LLM practitioners