The syllabus follows the AI Governance and Risk Engineering exam domains, with the most time spent on the heaviest-weighted areas and your weakest topics.
governance operating model and roles
inventory, classification, impact and risk assessment
documentation, controls and evidence
third-party, transparency and regulatory mapping
monitoring, changes, incidents and residual risk
impact, documentation and release governance
evaluation, fairness, privacy, security and safety
human oversight, agent tools and red teaming
monitoring, incidents and change management
transparency, evidence, metrics and residual risk
Domain weights come from the published exam outline used in PrepKloud projects. We recheck the latest official AI Governance objectives with you in the first session.