Module 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 minStart module →
AI Agent Engineering Course
Agentic Red Team
From LLM fundamentals to autonomous offensive AI. Built for security engineers.
8 modules30 lessons~26.8 hours
Module 02
Agent Engineering
Build real agents: the ReAct loop, tool use, memory systems, and the architectural primitives that turn an LLM into an autonomous actor.
4 lessons210 minStart module →
Module 03
Multi-Agent Systems
Orchestrators and subagents, the Model Context Protocol, RAG architecture, and the workflow patterns behind production agentic systems.
4 lessons220 minStart module →
Module 04
Offensive AI
The OWASP LLM Top 10, prompt injection weaponization, jailbreaking taxonomies, agent hijacking, and the MCP attack frontier.
5 lessons330 minStart module →
Module 05
Defensive AI
Input validation, output guardrails, the 5-layer defense stack, and monitoring patterns for AI systems in production.
4 lessons220 minStart module →
Module 06
Purple Team Operations
Running professional AI red team engagements: methodology, infrastructure, reporting, and remediation that developers can implement.
3 lessons175 minStart module →
Module 07
Career and Business
Becoming an AI security practitioner, building credibility, pricing offensive AI work, and the niche that is paying right now.
2 lessons100 minStart module →
Module 08
CCA-F Certification
Complete preparation guide for the Claude Certified Architect: Foundations exam. Five domains, eight scenarios, and the insider patterns that separate a passing score from a perfect one.
4 lessons165 minStart module →