ISACA Advanced in AI Audit (AAIA) Simplified - Domain 1

Master AI Governance and Risk - covering AI frameworks, ethical compliance, data governance, and audit practices aligned

What you'll learn
- Explain AI Models, Governance, and Compliance Requirements Understand how different AI models function, what governance structures support them, and how they al
- Apply AI governance frameworks by aligning AI initiatives with enterprise strategy, defining roles, and ensuring oversight.
- Evaluate and manage AI-specific risks, such as bias, model drift, lack of transparency, and adversarial vulnerabilities.
- Assess data governance and privacy issues in AI systems, ensuring compliance with global regulations and ethical use of data.
- Understand and apply global ethical principles and regulatory standards to promote responsible AI deployment and audit readiness.

What you'll learn
- Explain AI Models, Governance, and Compliance Requirements Understand how different AI models function, what governance structures support them, and how they al
- Apply AI governance frameworks by aligning AI initiatives with enterprise strategy, defining roles, and ensuring oversight.
- Evaluate and manage AI-specific risks, such as bias, model drift, lack of transparency, and adversarial vulnerabilities.
- Assess data governance and privacy issues in AI systems, ensuring compliance with global regulations and ethical use of data.
- Understand and apply global ethical principles and regulatory standards to promote responsible AI deployment and audit readiness.

Description
This course contains the use of artificial intelligence.  This course AAIA Review Manual Simplified – Domain 1: AI Governance and Risk, provides a deep yet easy-to-understand exploration of one of the most critical areas of the ISACA® Advanced in AI Audit (AAIA™) certification. It is designed for professionals who want to understand how to establish, assess, and audit governance structures that ensure AI systems are transparent, ethical, and compliant with regulatory and organizational standards.

The course begins by explaining the foundations of AI governance frameworks, highlighting how policies, roles, and responsibilities guide the responsible use of artificial intelligence. It then moves into AI risk management, teaching learners how to identify, analyze, and mitigate the risks that arise from AI models and data-driven decisions. You will explore how to evaluate AI systems for bias, accountability, explainability, and fairness - the essential pillars of trustworthy AI.

In addition to governance and risk, the course emphasizes data governance, privacy management, and compliance with global AI ethics and standards. Through real-world examples and case studies, learners will see how these principles apply in modern organizations and audits.

By the end of this course, participants will have a well-rounded understanding of how to evaluate AI governance programs, assess model and data integrity, and ensure that AI-driven systems operate safely, ethically, and in alignment with organizational goals - preparing them to excel in the AAIA certification exam and in professional practice.

Who this course is for:
- CISA, CIA, or CPA holders preparing for the ISACA AAIA™ certification
- IT auditors and risk professionals involved in reviewing AI systems or digital governance
- Cybersecurity, compliance, and data governance officers looking to expand into AI-related risk and oversight
- AI/ML practitioners who want to understand the governance and audit expectations of their systems
- Consultants and advisory professionals helping clients navigate ethical and responsible AI deployment
- Learners and professionals interested in understanding how to manage AI risk, align AI with business strategy, and comply with regulatory frameworks
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