Learning Tracks

Curated, ordered paths through the library. Work through a track end to end, then check your understanding with a short quiz.

The core data structures and algorithms progression for technical interviews — from arrays to dynamic programming to graphs.

How large language models actually work, end to end — tokenization and attention through prompting, fine-tuning, and alignment.

Taking an LLM from a model call to a real system — retrieval, agentic tool use, inference optimization, and evaluation.