Generative AI Study System¶
Curriculum-ordered. Career-mapped. GitHub-native.
The production-grade GenAI engineering manual. 83 structured study notes spanning 13 domains β from linear algebra prerequisites through autonomous agent orchestration and frontier research. Each note is a self-contained 30β60 minute session combining theory, production code, failure modes, and interview preparation. Career-mapped to 31 AI/ML roles across 5 specialization tracks.
Four Ways In¶
π Linear Curriculum
Start from scratch. Part 1 builds the universal foundation (math β transformers β RAG β agents). Part 2 branches into 5 role-specific tracks. Estimated 120+ hours.
π― Career-First
Pick your target role β GenAI Engineer, RAG Engineer, Agentic AI Engineer, MLOps, or ML Engineer β and follow a curated path with salary data, portfolio projects, and interview prep.
π Topic Reference
Already know what you need? Jump directly to any of 83 topics via the master scope map. Every note links to prerequisites and next steps.
π Obsidian Vault
Clone the repo and open it as an Obsidian vault. Pre-configured with graph colors, backlinks, and excluded folders. Works offline.
By the Numbers¶
83Topic Notes
7Role Guides
5Career Tracks
4Interactive Tools
Interactive Study Tools¶
π§ Spaced Repetition Decks
Pre-built Anki TSV exports generated from every note's Interview Angles section. One master deck plus 5 track-specific decks for targeted review.
πΈοΈ Knowledge Graph
Interactive D3.js force-directed graph of all 83 notes and 250+ connections. Discover prerequisite chains and concept relationships visually.
π TopicβRole Matrix
See exactly which topics are Critical, Important, or Optional for each of the 7 roles. Filter your study plan to focus on what matters for your career.
β
Progress Tracker
Browser-persisted completion tracking with localStorage. Mark topics done as you go and export markdown snapshots of your progress.
All notes verified April 2026. CI-enforced quality gates: zero broken links, zero formatting violations, 100% template compliance.
Browse the Concept Map β Β· View on GitHub β