Certified Artificial Intelligence Security Professional

AI systems can be manipulated through their inputs, corrupted through their training data, compromised through their supply chains, and exploited through the tools and permissions they are granted. This course builds the competencies to understand how AI systems are attacked, defended, and governed, with labs on prompt injection testing, AI red teaming, threat intelligence workflows, and AI-assisted malware analysis.

Who should attend?

• AI and machine learning engineers
• Cybersecurity and information security professionals
• SOC analysts and threat intelligence professionals
• Security architects, risk and compliance professionals working with AI

Course agenda

• Day 1 — AI, ML, and deep learning fundamentals
• Day 2 — LLM architecture, training workflows, and attack tactics
• Day 3 — AI security controls and mitigation strategies
• Day 4 — Detection, response, and secure deployment
• Day 5 — Certification exam

Learning objectives

• Explain how ML, deep learning, LLMs, and AI agents work and the risks arising from their design and deployment
• Analyze threats to AI and LLM systems using MITRE ATLAS and the OWASP LLM Top 10
• Apply AI security controls, monitoring strategies, and threat intelligence workflows
• Design and evaluate an AI security program covering incident response, supply chain, compliance, and red teaming

Examination

Exam duration: 3 hours.

General information

• More than 320 pages of training materials, including practical examples, exercises and quizzes.
• An attestation of course completion worth 31 CPD (Continuing Professional Development) credits.
• The price also covers the certification application fee and the first year of the Annual Maintenance Fee (AMF).

Language: available in English. For another language, send us a request and we will check availability.