Advanced in AI Audit (AAIA)

Advanced in AI Audit (AAIA) develops practical capability in AI audit governance, objectives, risk assessment, data and model controls, lifecycle assurance, monitoring, evidence, reporting, and follow-up.

Learners progress through AI Audit Governance, Objectives, Scope, Criteria, Ethics, and Planning; AI Risk, Data, Models, Development, Validation, and Documentation; Security, Privacy, Bias, Explainability, Monitoring, and Operations; and Evidence, Testing, Findings, Reporting, Follow-Up, and Improvement. Each stage connects ISACA-aligned concepts with implementation decisions, governance responsibilities, troubleshooting, and reviewable evidence.

The learning journey follows an audit function evaluating an AI-enabled business process for governance, data, models, security, ethics, operations, and accountability and produces a practical AAIA audit universe, risk assessment, AI control tests, and assurance report for implementation and operational use.

What You Will Learn

• Interpret AAIA AI audit governance; AAIA links audit objectives to AAIA audit scope and audit criteria.
• Verify AAIA audit criteria; AAIA tests AI ethics through AAIA AI audit governance foundation evidence.
• Design AAIA AI risk assessment; AAIA links training data to AAIA model development and model validation.
• Document AAIA model validation; AAIA tests model documentation through AAIA AI risk assessment assessment evidence.
• Analyze AAIA AI security; AAIA links data privacy to AAIA bias controls and explainability.
• Prioritize AAIA explainability; AAIA tests model monitoring through AAIA AI security implementation evidence.
• Apply AAIA audit evidence; AAIA links control testing to AAIA AI findings and assurance reporting.
• Evaluate AAIA assurance reporting; AAIA tests follow-up review through AAIA audit evidence assurance evidence.

SkillDynamo Training Approach

Training combines course-specific demonstrations, hands-on ISACA exercises, scenario analysis, validation checklists, structured troubleshooting, and a final improvement plan for Advanced in AI Audit (AAIA).