Course Overview
The ISACA AAIA certification is a globally recognized program designed to equip professionals with foundational knowledge and practical skills to understand, assess, and audit artificial intelligence (AI) systems effectively.
This course helps learners explore how AI works, how it’s applied across industries, and how to audit AI models for transparency, fairness, accountability, and compliance. Whether you’re in IT, risk, audit, or compliance — this certification helps you confidently engage with AI projects in your organization.
What You Will Learn
- Core concepts of artificial intelligence and machine learning.
- How AI systems are designed, trained, and deployed.
- Key risks and controls associated with AI technologies.
- How to audit AI models for fairness, transparency, privacy, and accuracy.
- Governance frameworks and ethical considerations in AI use
Domains Covered in AAIA Certification
- AI Fundamentals – Understand basic AI/ML terminology, algorithms, and lifecycle.
- AI Risks and Controls – Identify risk types and control mechanisms.
- AI Governance and Frameworks – Learn best practices, policies, and governance models.
- Auditing AI Systems – Tools and techniques for auditing AI algorithms and decision-making.
- Ethical and Legal Considerations – Explore AI ethics, bias, privacy, and global regulations.
AIAA Certification Exam Overview
| Exam Component | Details |
| Exam Name | ISACA® Artificial Intelligence Auditing Fundamentals (AIAA) Certification |
| Exam Type | Multiple Choice Questions (MCQs) |
| Total Questions | 75 |
| Passing Score | 65% (Approximately 49 correct answers) |
| Exam Duration | 2 hours (120 minutes) |
| Exam Format | Online, proctored through ISACA exam partner (e.g., PSI) |
| Language | English |
| Exam Delivery Mode | Remote or at authorized testing centers |
| Certification Validity | 3 Years (renewable with Continuing Professional Education – CPE credits) |
| Recommended Training | ISACA AIAA Boot Camp or Official Study Materials |
Course Prerequisites – AAIA Certification
The ISACA AAIA (Artificial Intelligence Auditing Fundamentals) course is designed to be accessible for professionals from various backgrounds. However, to get the most out of the training, it’s recommended that participants have:
- Basic understanding of IT systems and enterprise risk
- Familiarity with audit or assurance concepts (internal audit, IT audit, compliance, etc.)
- General awareness of AI technologies and how they are used in business environments
- Interest in AI governance, ethics, and risk management
💡 Note: You do not need to be a data scientist or AI engineer to take this course. The AAIA course is tailored for non-technical professionals who are responsible for auditing, managing, or overseeing AI systems.
What You Will Learn in the AAIA Course – Learning Objectives
The ISACA AAIA (Artificial Intelligence Auditing Fundamentals) course is designed to give you a strong foundation in auditing AI systems, ensuring they are ethical, compliant, and aligned with business goals.
✅ By the end of this course, you will be able to:
- Understand the core principles of artificial intelligence and machine learning
- Identify AI-related risks and apply risk management strategies
- Apply auditing frameworks to assess AI systems and models
- Evaluate the trustworthiness, fairness, transparency, and accountability of AI systems
- Understand AI governance and how to align it with enterprise risk policies
- Recognize and apply data privacy, security, and compliance practices in AI environments
- Audit AI systems using ISACA’s AI Assurance Framework
- Interpret AI decisions and assess explainability and bias risks
- Understand the lifecycle of AI models from development to deployment
- Support business decisions by communicating AI audit findings effectively
Whether you’re an auditor, compliance officer, risk manager, or tech leader — this course equips you to audit and govern AI responsibly in today’s digital world.
Curriculum
- 5 Sections
- 0 Lessons
- 20 Days
- Day 1 – Introduction to Artificial Intelligence (AI)Time Slot Topic Morning Welcome & Course Introduction Basics of Artificial Intelligence & Machine Learning Types of AI (Narrow, General, Strong AI) Afternoon Machine Learning Models & AI Terminology AI Lifecycle: Data Collection to Deployment Evening Understanding AI Capabilities vs. Limitations Real-world Use Cases Across Industries0
- Day 2 – AI Risks, Controls & GovernanceTime Slot Topic Morning Risk Categories in AI (Data Bias, Model Drift, Explainability) Afternoon Designing Risk Controls in AI Systems Control Objectives & Control Types Evening Introduction to AI Governance Frameworks Key Governance Models (e.g., COSO, NIST AI RMF)0
- Day 3 – Auditing AI SystemsTime Slot Topic Morning The Role of Auditors in AI Projects Audit Planning for AI Systems Afternoon AI Audit Tools & Techniques Auditing the AI Development Lifecycle Evening Auditing AI for Fairness, Accuracy, and Transparency Practical Case Study0
- Day 4 – Ethics, Legal, and Regulatory ComplianceTime Slot Topic Morning Ethics in AI: Bias, Discrimination & Accountability Afternoon Global Regulations: GDPR, AI Act, and Others Data Privacy in AI Systems Evening Compliance Checklists & Risk-Based Auditing Approaches0
- Day 5 – Final Review & Certification ReadinessTime Slot Topic Morning Review of All Key Concepts & Domains Afternoon Mock Exam + Discussion on Answers Exam-Taking Strategies Evening Q&A with Instructor Career Pathways After AAIA Closing & Certification Guidance0
Instructor
