What AI security engineers do, why AI systems have unique attack surfaces, prompt injection fundamentals. Four concept pages, no code.
Jailbreak taxonomy, defence in depth, red-teaming methodology, adversarial examples. Concept pages plus problems.
RAG system security, agent exfiltration attacks, privacy in ML, AI compliance. Medium problems with real attack scenarios.
Federated learning security, backdoor detection, watermarking and provenance. Hard problems with golden-answer comparison.
Company-tagged problems only. Required 15-minute simulator capstone. Completion generates a shareable certificate.