Advanced in AI Audit (AAIA) blueprint
Treat every domain as a required area of competence, then use its linked objectives to define exactly what to learn and practice. Published weights indicate relative exam emphasis, not permission to ignore lower-weight areas.
Review the knowledge behind each objective, apply it in scenarios or practical work, and use targeted questions to test the decision being measured. Move to timed simulation only after the complete blueprint has been covered.
Covers Evaluate AI governance, organizational oversight, risk, privacy, data governance, ethics, regulation, and standards..
46% of blueprint / 1 objectivesCovers Evaluate AI data, development, deployment, change, supervision, testing, threat, vulnerability, and incident-management processes..
21% of blueprint / 1 objectivesCovers Plan, perform, evidence, analyze, and report AI audits while evaluating appropriate uses and limitations of AI-enabled audit techniques..
Each objective page stays scoped to this certification and current exam standard.