the verified library
Resource library
98 sources behind the curriculum — official documentation, university courses, open textbooks, key papers, and respected engineering blogs. Every URL was fetched and verified live before inclusion; everything is legally free (paid books link only to official pages). Each day's lesson cites the exact chapters and videos it uses.
Python
Git, GitHub, Linux & shell
CS foundations — DSA, OS, networking, databases, systems
toolVisuAlgo — algorithm visualizations ↗referencecourseHarvard CS50x ↗~20 h selectivebookOpenDSA open textbook ↗20–30 h selectivebookOperating Systems: Three Easy Pieces (OSTEP, free) ↗20–30 h selectivebookBeej's Guide to Network Programming ↗6–10 hdocsMDN — HTTP ↗4–6 hcourseSQLBolt — interactive SQL ↗3–5 hdocsSQLite documentation ↗referencebookUse The Index, Luke — SQL performance ↗6–8 hcourseCMU 15-445 — Intro to Database Systems ↗~15 h selectivecourseMIT 6.824 — Distributed Systems ↗~10 h selectiverepoDesigning Data-Intensive Applications — official references repo ↗referencerepoSystem Design Primer ↗15–20 harticleByteByteGo newsletter ↗ongoing
Math for ML
video3Blue1Brown — Essence of Linear Algebra ↗3–4 hcourseMIT OCW 18.06 — Linear Algebra (Strang) ↗~12 h selectivebookImmersive Linear Algebra (interactive book) ↗8–10 hvideo3Blue1Brown — Essence of Calculus ↗3–4 hcourseKhan Academy — Calculus 1 ↗15–20 h selectivecourseSeeing Theory — visual probability & statistics ↗4–6 hcourseHarvard Stat 110 — Probability ↗~10 h selectivecourseKhan Academy — Statistics & Probability ↗15–20 h selectivebookMathematics for Machine Learning (official free PDF) ↗30–40 h selectivepaperShannon (1948) — A Mathematical Theory of Communication ↗3–4 harticleColah — Visual Information Theory ↗1–2 h
Machine learning
docsscikit-learn User Guide ↗15–20 h selectivecourseAndrew Ng — ML Specialization (free to audit) ↗~25 h selectivecourseGoogle — Machine Learning Crash Course ↗15 hvideoStatQuest (Josh Starmer) ↗~10 h totalcourseKaggle Learn micro-courses ↗3–5 h eachdocspandas User Guide ↗8–10 h selectivedocsNumPy — the absolute basics ↗2–3 h
Deep learning
docsPyTorch tutorials (official) ↗10–15 h selectivecoursefast.ai — Practical Deep Learning for Coders ↗~15 h selectivecourseKarpathy — Neural Networks: Zero to Hero ↗15–18 hreponanoGPT (Karpathy) ↗5–10 hvideo3Blue1Brown — Neural Networks ↗3–4 harticleThe Illustrated Transformer (Jay Alammar) ↗1–2 hpaperAttention Is All You Need (2017) ↗2–3 hbookDive into Deep Learning (free interactive book) ↗40+ h selectivebookDeep Learning — Goodfellow/Bengio/Courville (free HTML) ↗reference
AI engineering & LLMs
docsClaude Docs — Prompt engineering ↗3–5 hdocsClaude Docs — Tool use ↗3–4 hrepoAnthropic — Interactive prompt-engineering tutorial ↗4–6 hrepoOpenAI Cookbook ↗5–10 h selectivearticleChip Huyen's blog ↗1–2 h per postarticleLilian Weng — LLM-powered autonomous agents ↗2–3 harticleLilian Weng — Prompt engineering ↗2 hcourseHugging Face — LLM course ↗~10 h selectivedocsLangChain docs (Python) ↗5–8 hdocsLlamaIndex docs (Python) ↗5–8 hdocsModel Context Protocol ↗4–6 harticlePinecone Learning Center — vectors & RAG ↗5–8 h selectivedocsQdrant documentation ↗3–5 hdocsSentence-Transformers (SBERT) ↗3–4 hpaperRAG paper — Lewis et al. 2020 ↗2–3 hpaperHyDE paper ↗1–2 hpaperRAPTOR paper ↗1–2 hdocsOWASP Top 10 for LLM applications ↗2–3 harticleSimon Willison — prompt injection series ↗3–4 h
Evaluation
docsRagas documentation ↗3–5 hdocspromptfoo documentation ↗3–5 hrepoOpenAI Evals repo ↗3–5 hdocsLangSmith — evaluation concepts ↗2–3 hdocsBraintrust — evals guide ↗2–3 harticleHamel Husain — Your AI product needs evals ↗1–2 harticleEugene Yan — task-specific LLM evals ↗1–2 hpaperLLM-as-a-Judge / MT-Bench paper ↗2–3 h
MLOps & production
docsDocker — Get started ↗5–8 hdocsGitHub Actions documentation ↗4–6 hdocsFastAPI documentation ↗8–12 hdocsMLflow documentation ↗4–6 hcourseMade With ML — MLOps course ↗~10 h selectiverepoDesigning Machine Learning Systems — official book repo (Chip Huyen) ↗3–5 hdocsPrometheus overview ↗2–4 hdocsGrafana documentation ↗2–4 hdocsOpenTelemetry documentation ↗3–5 hdocsvLLM documentation ↗3–5 hcourseAWS Skill Builder (free courses) ↗5–10 h selective
Forward-deployed engineering & consulting craft
articleReflections on Palantir — Nabeel Qureshi (ex-FDE) ↗1–2 harticleFDE interview guide (Exponent) ↗2–3 hbookThe Mom Test — official site (book is paid) ↗4 h (book)courseGoogle — Technical writing courses ↗6–8 hdocsarc42 — architecture documentation template ↗2–3 hdocsC4 model for architecture diagrams ↗2–3 harticlePreSales Collective ↗ongoing