
This course contains the use of artificial intelligence.
This exam-focused preparation course prepares experienced IT auditors, internal auditors, and risk professionals to plan and perform assurance engagements over enterprise AI and machine learning systems, aligned to ISACA's Advanced in AI Audit (AAIA) exam content outline. Across 12 chapters you will work through the AI lifecycle end-to-end - data pipelines, model development, MLOps/LLMOps, deployment, and monitoring - then move into AI governance structures, risk taxonomies, and the regulatory landscape spanning the EU AI Act, NIST AI RMF, and ISO/IEC 42001, before applying it all through audit scoping, control testing, and bias, fairness, and explainability assurance techniques.
Taught by Aseem Mankotia, this course uses realistic, scenario-based labs and practice questions modeled on the style and weighting of the official exam, closing with a full-length timed simulation and a domain-by-domain time-management strategy. AAIA is an advanced credential requiring an active qualifying certification (such as CISA, CIA, CPA, or ACCA) plus audit, risk, or compliance experience - this course assumes that foundation and builds directly on it. Always verify the current exam content outline, question count, duration, scoring, fees, and prerequisites on ISACA's official AAIA page before registering.
AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official AAIA exam guide.