AI Security Engineering

The course covers the AI security threat landscape and OWASP LLM Top 10, prompt injection attacks and defences, jailbreaks and content policy enforcement, data poisoning and training-time security, model extraction and inversion attacks, PII leakage and data privacy, supply chain security for AI dependencies, securing AI APIs and infrastructure, and EU AI Act, NIST AI RMF, and ISO 42001 compliance.

Both. Software engineers who are building AI-powered systems need to understand the unique attack surface AI introduces. Security engineers and penetration testers moving into AI assessment will also find the course directly applicable. The prerequisite is AI for Software Engineers.

Yes. The final lesson covers the EU AI Act structure, prohibited use cases, high-risk AI system obligations (logging, human oversight, accuracy requirements), GPAI model transparency, NIST AI Risk Management Framework, ISO 42001, and GDPR Article 22 — with a practical engineering compliance checklist.

Yes, completely. There is no subscription, no credit card, and no paywall. Every lesson, every exam attempt, and every certificate is free.

Most courses take 2–5 hours of lesson reading, spread across a few sessions — check the estimated time above for this specific course. You can read at your own pace, with no time pressure until you start the exam.

After completing all lessons you unlock the exam. It is multiple choice, server-graded, with a time limit. You need 75% to pass. You have 3 attempts included.

Yes. You have 3 attempts total. After each failed attempt you can review the course before retrying. After all attempts are used, correct answers and explanations are revealed.

Every certificate has a unique ID and a public verification URL that anyone can check without an account. Employers, clients, and recruiters can verify it independently at any time.

Yes. Your certificate page includes a direct LinkedIn "Add to Profile" link that pre-fills the certification details. It takes one click.