AAIA Cert Masterclass - Prepare for the Exam in 2026
About this course
This course contains the use of artificial intelligence. However, every lecture recording involves me reading the scripts, and I am fully involved in scripting and production. Be careful buying courses with instructors that don't appear in person. AI courses are becoming quite common on learning platforms.This course is a complete, structured study program for the ISACA Advanced in AI Audit (AAIA) exam. Built domain by domain against the official exam blueprint, it covers every topic area you need to understand before sitting for the exam. Each lesson is a narrated video that explains how concepts connect to each other and to real-world practice — not just what the definition is, but how a practitioner applies it.D1 — AI Governance and Risk (33% of the exam) — covers evaluate ai solutions to advise on impact, opportunities, and risk to organization., evaluate the impact of ai solutions on system interactions, environment, and humans., evaluate system and business requirements for ai solutions to ensure alignment with enterprise architecture., ai model types, architectures, and capability profiles -- supervised, unsupervised, reinforcement, generative, model documentation standards -- model cards, datasheets for datasets, validation reports, evaluate the role and impact of ai decision-making systems on the organization and stakeholders., evaluate the organization's ai policies and procedures, including compliance with legal and regulatory requirements., evaluate whether the organization has defined ownership of ai-related risk, controls, procedures, decisions, and standards., ai governance structures -- roles, accountability, raci, committee oversight, and board reporting, ai governance frameworks -- nist ai rmf, iso 42001, oecd ai principles, evaluate the monitoring and reporting of metrics (e.g., kpis, kris) specific to ai., evaluate the design and effectiveness of controls specific to ai., evaluate vendors and supply chain management programs specific to ai solutions., ai risk taxonomy -- perfo
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Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand AI governance frameworks
- evaluate AI solutions for organizational impact
- assess compliance with legal and regulatory requirements in AI
- identify AI model types and their applications
- analyze AI policies and risk management procedures
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