01
beginner40 min
How LLMs Work ; From Tokens to Reasoning
The engineering reality of transformer models, attention, tokenization, and why this matters for building and breaking AI systems.
llmtransformerstokenizationattention
All modulesModule 01
Foundations
How LLMs actually work, prompt engineering for engineers, the AI stack, and the security threat model that every other module builds on.
4 lessons190 min total
02
beginner50 min
Prompt Engineering for Engineers
Not the blog-post version. The real mechanics of system prompts, few-shot examples, chain-of-thought, and structured outputs, with a red team lens.
promptingsystem-promptfew-shotchain-of-thought
03
beginner45 min
The AI Stack ; APIs, Models, and Context Windows
How production AI systems are actually wired: API architecture, model selection, context management, cost/latency tradeoffs, and where attackers look first.
apianthropicopenaicontextproduction
04
beginner55 min
AI Security Fundamentals ; The Threat Model
OWASP LLM Top 10, the AI attack surface map, and why traditional AppSec thinking breaks on AI systems.
owaspthreat-modelattack-surfaceappsec