AI/ML Reading List

Understanding AI, building with it, and securing it.

Getting Started

• New to ML? Start with Part I (Math & CS Foundations)
• Familiar with ML, new to LLMs? Start with Part II (Attention & Transformers)
• Building a RAG system? Start with Part III
• Interested in knowledge graphs? Start with Part IV
• Security professional? Start with Track G, then Part V

Browse

• Full Reading List — All entries, filterable by type, difficulty, and section
• Learning Tracks — Guided paths through the material

Difficulty Levels

• Beginner — No ML background needed. Start here.
• Intermediate — Assumes basic ML/DL familiarity.
• Advanced — Research-level, math-heavy, or specialized.