Certified AI Red Team Engineer (CARTE) Training

CARTE at FAU Continuing Education brings the Certified AI Red Team Engineer program — a hands-on AI security certification to South Florida. Offered through Florida Atlantic University's partnership with Applied Technology Academy, the course is taught live — online or in the Boca Raton classroom — by ATA practitioner instructors who work in the field they teach.

The program develops exploiting, testing and securing real AI systems, from prompt injection to model exploitation, on intentionally vulnerable targets. It is built for practitioners who prove AI security skill through a flag-based practical exam, and FAU Continuing Education students train alongside working professionals from across South Florida's technology and defense employers.

Enrollment runs through the FAU Continuing Education team — register for a scheduled session below, or contact us to plan the right start date, funding path and preparation plan.

Course Outline

• Module 1: Foundations of AI Security
  • Understanding AI systems, threat landscape, MITRE ATLAS, OWASP Top 10 for LLMs.
• Module 2: AI System Internals
  • Transformers, embeddings, RAG systems, agents, and how they work under the hood.
• Module 3: Guardrails and Safety Mechanisms
  • Input filters, system prompts, RLHF, Constitutional AI, output filters, and bypassing defenses.
• Module 4: Prompt Injection
  • Basic to advanced injection techniques, system prompt extraction, and defense bypassing.
• Module 5: Jailbreaking
  • Role-playing attacks, DAN techniques, multi-step jailbreaks, and adversarial prompts.
• Module 6: Data Poisoning
  • Backdoor attacks, training data contamination, and manipulating AI behavior.
• Module 7: RAG Exploitation
  • Document injection, retrieval manipulation, and vector database attacks.
• Module 8: Agent Red Teaming
  • Tool injection, action hijacking, and compromising autonomous AI agents.
• Module 9: Model Inversion
  • Extracting training data, membership inference, and model stealing techniques.
• Module 10: Adversarial ML
  • Adversarial examples, evasion attacks, and fooling neural networks.
• Module 11: API Security
  • Rate limiting bypass, token manipulation, and exploiting AI API endpoints.
• Module 12: Real CVEs
  • Exploit actual CVEs in production AI systems. Hands-on with real vulnerabilities.
• Module 13: Professional Red Teaming
  • Methodology, ethics, and running complete red team assessments.
• Module 14: Ethics and Responsible Disclosure
  • Legal considerations, ethical frameworks, responsible disclosure practices, and professional conduct.
• Module 15: Documentation & Evidence
  • Documenting findings, capturing evidence, and organising results from AI security assessments.
• Module 16: Pitching AI Red Team Engagements
  • Sales strategies, proposal writing, pricing models, and winning AI security consulting contracts.
• Module 17: Exam Preparation
  • Comprehensive review, exam strategy, time management, and final preparation for the practical exam.
• Module 18: Final Practical Exam
  • 7-day hands-on assessment. Hack 15 real vulnerable AI systems and capture 30 flags. 80% pass mark required.