AI security foundations
- AI attack surface
- OWASP LLM risks
- Prompt injection
- Adversarial ML
Learn to secure ML, LLM and agentic AI systems across the lifecycle. Progress from attack fundamentals to hands-on testing, guardrails, red teaming and AI security credentials.
Each layer builds on the one before it — foundation to credential.
Follow the four levels in order, but you do not need to take every course. Core courses form the essential path; Recommended courses add role-based depth. Planned gap-fill courses are clearly marked Coming soon.
Build a clear working foundation in the concepts, terminology, risks and practical context of the topic.
SecurityBuild a clear working foundation in the concepts, terminology, risks and practical context of the topic.
Core SkillBuild the essential concepts and vocabulary needed before moving into applied practitioner work.
Core SkillBuild the essential concepts and vocabulary needed before moving into applied practitioner work.
Core SkillBuild a clear working foundation in the concepts, terminology, risks and practical context of the topic.
Core SkillBuild a clear working foundation in the concepts, terminology, risks and practical context of the topic.
RiskBuild a clear working foundation in the concepts, terminology, risks and practical context of the topic.
Core SkillBuild the essential concepts and vocabulary needed before moving into applied practitioner work.
Core SkillBuild a clear working foundation in the concepts, terminology, risks and practical context of the topic.
Core SkillBuild the essential concepts and vocabulary needed before moving into applied practitioner work.
Core SkillApply the topic through practical workflows, controls, assessments and real-world practitioner scenarios.
SecuritySecure the ML lifecycle from data and training through model registry, deployment, monitoring and incident response.
SecurityProtect LLM applications using guardrails, input/output controls, monitoring, evaluation and secure integration patterns.
SecurityDevelop advanced capability to design, lead and operationalize this area in enterprise environments.
Core SkillRed-team LLM/ML systems and engineer defensive detections, controls and remediation for AI-specific attacks.
SecurityExploit and defend advanced LLM attack paths including prompt injection, data leakage, unsafe tools and guardrail bypass.
SecurityPrepare for the certification with structured domain review, scenario practice and exam-focused reinforcement.
Core SkillPrepare practitioners for the Certified Offensive AI Security Professional exam and hands-on LLM/agent red teaming.
Security✓ A curated Core path so you know what to learn first.
✓ Recommended depth without making every course mandatory.
✓ Competency-based progression from foundation to mastery.
✓ A clear credential destination and role outcome.
Get the complete live roadmap in one bundle. New courses added to this roadmap later can be included as the path evolves.
13 live courses, foundation through credential.