+91-9665060088
+1-307-556-1088
AAIA – Advanced in AI Audit Certification
.svg)
Virtual Classroom
Training
Training
Practice Questions
on LMS
on LMS
Guaranteed to
Run Batches
Run Batches
Experienced
Instructors
Instructors
Exam
Simulation
Simulation
Post-Training
Support
Support
Virtual Classroom
Training
Training
Practice Questions
on LMS
on LMS
Guaranteed to
Run Batches
Run Batches
Experienced
Instructors
Instructors
Exam
Simulation
Simulation
Post-Training
Support
Support
Advanced in AI Audit
-
✓
Training Material
-
✓
LMS Access
-
✓
Hands-On Project Based Learning
-
✓
Instructor-Led Virtual Classroom Training
Target Audience
Pre-Requisites
Exam Information
✓ IT and Internal Auditors
✓ Risk and Compliance Professionals
✓ Information Security and Cybersecurity Professionals
✓ AI Governance, Ethics, and Responsible AI Teams
✓ Technology and Digital Transformation Leaders
✓ Consultants and Advisory Professionals
✓ Data Governance and Privacy Professionals
✓ To appear for the AAIA Exam, participants must hold below mentioned certificates However for Learning no prerequisite is required.
Must hold an eligible audit credential
Example includes:
CISA, CPA, CIA, ACCA
✓ Format: Multiple-choice, 90 questions.
✓ Duration: 150 minutes.
✓ Passing Marks: 450+
Want to Train Your Team?
Corporate Training Solutions
Help your teams grow with personalized training programs and affordable pricing that fit your business goals. Build a future-ready workforce by boosting digital skills, technical know-how, and a mindset of continuous improvement.
✓ Scalable Learning Programs for Teams of Any Size
✓ Dedicated Customer Success Manager & Post-Training Support
✓ Cost-Effective Exam Voucher Packages.
Course Overview :
- Targeted for IT audit professionals seeking to expand their expertise into AI systems.
- Delivers focused knowledge and practical skills required to audit artificial intelligence effectively.
- Covers the complete AI audit lifecycle, from planning to execution and reporting.
- Addresses key areas: AI governance, risk management, core AI concepts, and operational workflows.
- Strongly hands-on and practice-driven, emphasizing real-world application.
- Ensures audits align with high standards for ethics, security, compliance, and accountability.
Course Content
Domain 1: AI Governance & Risk
AI Models & Requirements
- Types of AI
- Machine Learning/AI Models
- Algorithms
- AI Life Cycle
- Business Consideration
Governance & Program Management
- AI Strategy
- AI-related Roles & Responsibilities
- Policies and Procedures
- Training and Awareness
- Program Metrics
AI Risk Management
- AI-related Risk Identification
- AI Risk Assessment
- AI Risk Monitoring
Privacy & Data Governance
- Data Governance
- Privacy Considerations
Ethics & Standards
- Standards, Frameworks & Regulations
- Ethical Considerations
Domain Focus
Establishing the foundation for responsible AI through robust governance structures and risk frameworks.
Domain 2: AI Operations
Data Management for AI
- Data Collection
- Data Classification
- Data Confidentiality
- Data Quality
- Data Balancing
- Data Scarcity
- Data Security
Incident Response
- Prepare
- Identify and Report
- Assess
- Respond
- Post incident Review
Threats & Vulnerabilities
- Types of AI-related Threats
- Controls for AI-related Threats
Change Management
- Change Management Considerations
Solution Development
- AI Solution Development Life Cycle
- Privacy and Security by Design
Testing Techniques
- Conventional Software Testing for AI
- AI-specific Testing Techniques
Supervision
- AI Agency
Domain 3: AI Auditing Tools & Techniques
Audit Planning & Design
- Identification of AI Assets
- Types of AI Controls
- AI Audit Use Cases
- Internal Training for AI Use
Testing & Sampling
- Designing an AI Audit
- AI Audit Testing Methodologies
- AI Sampling
- Testing AI Outcomes
- Sample AI Audit Process
Evidence Collection
- Data Collection
- Walkthroughs and Interviews
- AI Collection Tools
Data Quality & Analytics
- Data Quality
- Data Analytics
- Data Reporting
Outputs & Reports
- Reports
- Audit Follow-up
- Quality Assurance
Domain Focus:
Practical application of audit methodologies specifically tailored for AI environments, from planning to reporting.
Frequently Asked Questions
🔹What is the Advanced in AI Audit (AAIA) Certification?
+
The AAIA Certification is ISACA's credential specifically for IT audit professionals. It validates your expertise in auditing artificial intelligence systems, demonstrating your ability to navigate the unique governance, risk, operational, and audit challenges posed by AI.
🔹Who should take the AAIA Training Course, and what are the prerequisites?
+
To appear for the AAIA Exam, participants must hold below mentioned certificates However for Learning no prerequisite is required. Must hold an eligible audit credential Example includes: CISA, CPA, CIA, ACCA
🔹What skills will I learn in this training?
+
You will learn AI governance, AI audit frameworks, model risk assessment, AI compliance, ethical AI practices, and AI control evaluation techniques
🔹Is the training suitable for beginners?
+
Yes, the course is beginner to intermediate friendly and provides structured guidance on AI audit concepts and practices.
🔹How does AAIA help my career?
+
AAIA helps professionals build expertise in the rapidly growing field of AI audit, governance, risk management, and responsible AI implementation.
🔹Why choose Knowlathon for AAIA™ training?
+
Knowlathon offers expert-led training, industry-focused curriculum, certification guidance, and practical learning support for professionals aiming to advance in AI governance and audit careers.
