ISACA AAIA™ Exam Prep Training Course: Advanced in AI Audit

Name: ISACA AAIA™ Exam Prep Training Course: Advanced in AI Audit
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Comprehensive Training to Pass the ISACA AAIA™ Exam and Earn the Advanced in AI Audit Certification

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ISACA AAIA™ Exam Prep Training Course: Advanced in AI Audit

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Course Overview:

The ISACA AAIA™ Exam Prep Training Course: Advanced in AI Audit is designed to prepare professionals for success in the ISACA AAIA exam and help them achieve the Advanced in AI Audit certification. This intensive course focuses on equipping participants with the skills needed to audit AI-driven systems, assess risks, and provide assurance in environments powered by machine learning, large language models, and intelligent automation.

The program provides comprehensive coverage of all exam domains, including AI Governance & Risk, AI Operations, and AI Audit Techniques and Tools. It combines in-depth theory with practical case studies, mock exams, and reflection sessions to ensure participants are not only exam-ready but also capable of applying AI audit practices in real-world contexts. By completing this course, learners will gain confidence in their ability to pass the AAIA exam, while also advancing their careers as trusted advisors in the emerging field of AI audit.

Target Audience:

IT Auditors preparing for the AAIA exam
Professionals with CISA, CIA, or CPA certifications
Risk and compliance officers
Internal and external auditors
Cybersecurity and data governance specialists
Consultants focusing on AI audit training and assurance

Targeted Organizational Departments:

Internal Audit & Assurance
Risk Management & Compliance
IT Governance & Cybersecurity
Data Science & AI Operations
Finance and Regulatory Reporting
Innovation & Digital Transformation Teams

Targeted Industries:

Financial Services & Banking
Healthcare & Pharmaceuticals
Government & Public Sector
Technology & Telecommunications
Energy & Utilities
Professional Services & Consulting

Course Offerings:

By the end of this course, participants will be able to:

Confidently prepare for the ISACA AAIA exam
Explain the domains of the Advanced in AI Audit certification (Governance, Operations, Audit Tools)
Apply AI audit exam preparation strategies through practice questions and simulations
Evaluate AI governance structures, risks, and ethical considerations
Conduct effective audit engagements in AI-driven environments
Use structured study guides and techniques to ensure certification readiness

Training Methodology:

This program uses interactive and practical learning approaches to maximize exam success and professional development. Participants will engage in:

Case Studies simulating AI audit challenges across industries
Practice Exams & Quizzes aligned with the exam format
Interactive Group Work on risk assessments, governance, and audit planning
Simulation Exercises on auditing machine learning and automation systems
Instructor-Led Sessions focusing on exam domains and techniques
Reflection & Feedback Sessions to consolidate exam readiness

Course Toolbox:

Digital workbook aligned with AI audit exam domains
Checklists for AI governance, risk, and internal controls
Practice exam-style questions and study exercises
Templates for audit planning and risk assessment
Summaries of AI audit techniques and governance practices

(Note: Tools are not physically provided. Participants receive structured insights and examples of tools relevant to AI audit.)

Course Agenda:

Day 1: Foundations of the AAIA Exam

Topic 1: Introduction to the AAIA exam structure and certification requirements
Topic 2: Overview of AI audit domains and key concepts
Topic 3: Fundamentals of AI governance and ethics
Topic 4: Understanding AI technologies: ML, LLMs, intelligent automation
Topic 5: Developing a personalized AAIA exam study plan
Reflection & Review: Consolidating AI audit foundations for exam success

Day 2: AI Governance & Risk

Topic 1: Governance structures and oversight in AI environments
Topic 2: AI risk management and ethical considerations
Topic 3: Data integrity, privacy, and third-party risks
Topic 4: Case-based exercises in AI risk auditing
Topic 5: Practice questions focused on Governance & Risk
Reflection & Review: Applying governance and risk insights to exam-style scenarios

Day 3: AI Operations & Change Management

Topic 1: AI lifecycle management and operational readiness
Topic 2: Aligning AI with enterprise strategies and goals
Topic 3: Change management in AI adoption
Topic 4: Cybersecurity and resilience in AI operations
Topic 5: Mock exam set on AI Operations (largest exam domain)
Reflection & Review: Group exercise simulating operational audit reviews

Day 4: AI Audit Techniques and Tools

Topic 1: Core audit methodologies for AI systems
Topic 2: Techniques for auditing algorithms, ML, and automation tools
Topic 3: Leveraging AI-enabled tools to enhance audits
Topic 4: Case study on AI fraud detection and assurance
Topic 5: Practice questions from the Audit Techniques domain
Reflection & Review: Strategic approach to scenario-based exam questions

Day 5: Final Exam Prep and Simulation

Topic 1: Comprehensive exam blueprint and domain review
Topic 2: Time management strategies for the AAIA exam
Topic 3: Full-length mock exam and guided answer review
Topic 4: Study techniques for post-training exam preparation
Topic 5: Certification process, application steps, and next career opportunities
Reflection & Review: Final Q&A, exam confidence building, and action planning

FAQ:

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

Participants should ideally hold a CISA, CIA, or CPA certification and have IT audit or advisory experience. Some exposure to AI systems is recommended.

How long is each day's session, and is there a total number of hours required for the entire course?

Each day's session is structured to last 4–5 hours, including breaks and interactive activities. The total course spans 5 days, approximately 20–25 hours of guided instruction.

How is the AAIA exam scored, and what is the passing mark?

The exam is scored on a scale of 200–800. A minimum score of 450 is required to pass.

How This Course is Different from Other AAIA Exam Prep Courses:

This course goes beyond basic exam preparation by combining in-depth coverage of all AAIA domains with practical, real-world case studies and exam simulations. Participants will engage in exercises that mirror real AI auditing challenges, including governance, data integrity, and risk assessments. Unlike generic programs, this training emphasizes exam mastery, applied knowledge, and hands-on practice. Learners will leave with not only a strong grasp of exam content but also the ability to apply AI audit skills in professional contexts, making them highly valued advisors in organizations adopting AI.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center