To take the AI Security certification exam, you must meet system and security requirements and follow admission policies. Exams are proctored online through third-party services, with the option to test from home for added convenience.
AI Security certification exams are available at multiple locations worldwide.
Schedule your AI Security exam up to eight weeks in advance.
The AI Security at-home test is identical to the exam taken at a testing center.
Industry-aligned certifications for students and developers to master secure AI system design, red teaming, and DevSecOps.
Course track modules
AI Architectures & Threat Landscape (LLMs, RAG, OWASP Top 10 for LLMs)
Direct Attacks & Defenses (direct prompt injection, PII leakage, input sanitization)
Project Hygiene (API key security, safe consumption of third-party models)
Course track modules
Pipeline & Model Artifact Security (CI/CD scanning, detecting malware in weights)
RAG & Vector Database Defense (securing ingest pipelines, defending RAG poisoning)
Guardrails & Threat Modeling (NeMo/LlamaGuard guardrails, MITRE ATLAS & STRIDE)
Course track modules
Advanced Red Teaming & Jailbreaking (indirect prompt injection, automated fuzzing)
Adversarial Machine Learning (model inversion/extraction, trojanized models)
Governance & Compliance (AI supply chain audits, NIST AI RMF, ISO 42001, EU AI Act)
Progressive pathway: complete each level to unlock the next. Verify your certification or learn about enterprise certification.
AI Security training equips you for a thriving career in a rapidly expanding field. According to recent research, 75% of organizations are already implementing AI security measures, with adoption expected to grow further.
More readingPrepares you for a career in AI Security, this certification is designed to build skills and templatenstrate expertise in securing AI systems and deployments.
More readingLearn how to protect AI systems and data, understand best practices, and implement security policies to meet industry-specific compliance requirements.
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