Plain-English mental models — what an LLM is, how embeddings work, why RAG exists. Five concept pages, no code.
Chunking, retrieval, RAG fundamentals, token efficiency. Concept pages plus medium-difficulty problems.
RAG eval, agent architecture, cost optimisation, caching. Medium problems plus a blurred Pro concept tease.
Fine-tuning vs RAG, multi-modal, monitoring, guardrails. Hard problems with golden-answer comparison.
Company-tagged problems only. Required 15-minute simulator capstone. Completion generates a shareable certificate.