An AI agents developer roadmap: programming, math, and LLM fundamentals

blaizedsouza · x · 2026-11-15

A tree-style roadmap for aspiring AI agents developers, covering three blocks: programming foundations (Python, JS/TS, DSA, async, Git, Linux, APIs), math and ML fundamentals (linear algebra, probability, optimization, deep learning, RL basics), and LLM understanding (Transformer architecture, attention, tokenization, embeddings, context windows, next-token prediction). Useful as a high-level checklist rather than a detailed tutorial.

Original post →

More from coding & agent

coding & agent channel →