The Ultimate AAIA Certification Masterclass: AI Governance, Operations & Auditing

Welcome to the ultimate crash course for the ISACA Advanced in AI Audit™ (AAIA) certification! 🚀

Whether you are preparing for the exam or looking to level up your AI governance and risk management skills, this video covers all the essential domains you need to know to pass.

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In this video, we break down the complex world of AI auditing, from global risk frameworks to MLOps, continuous monitoring, and incident response. You will learn how to audit "black box" models, identify AI model drift, mitigate algorithmic bias, and apply the CCCE audit finding framework to real-world AI systems.

⏳ What We Cover:
Domain 1: AI Governance & Risk (33% of exam)
• Key Frameworks: NIST AI RMF (Govern, Map, Measure, Manage), EU AI Act risk tiers, ISO/IEC 42001, and the OECD Principles
.• AI Ethics & Privacy: The FATE framework (Fairness, Accountability, Transparency, Explainability), GDPR Article 22, and managing data quality dimensions.

Domain 2: AI Lifecycle, Controls & Operations (~46% of exam)
• The 8 Phases of the AI/ML Lifecycle & MLOps (CI/CD/CT)
.• Deployment patterns: Shadow mode, Canary, A/B testing, and Champion-Challenger validation
. • The Three Lines of Defense applied to AI
. • AI Monitoring: Detecting Data, Concept, and Prediction Drift using metrics like PSI
. • Explainability tools (LIME vs. SHAP) and adversarial threats like prompt injection, data poisoning, and model inversion.

Domain 3: AI Auditing Tools & Techniques (21% of exam)
• Audit standards: ITAF (audit standards) vs. COBIT (governance framework)
. • Evidence collection and the CCCE (Condition, Criteria, Cause, Effect) Framework
. • Using CAATs (Computer-Assisted Audit Techniques) and statistical sampling (like Stratified sampling for AI bias audits).

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