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AI Audit (AIAudit) certification course

AR
Teacher

Adrian Resag

Category

Certifications

Last Updated

21 July 2025

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About Course

The AI Audit (AIAudit) Certification Course is a specialized, instructor-led training program designed to provide professionals with the frameworks, methodologies, and practical tools needed to conduct effective audits of artificial intelligence systems. As AI applications increasingly influence business operations, decision-making, and customer interactions, organizations must ensure their AI systems are transparent, fair, compliant, and accountable.

This course bridges the gap between AI technology and audit practice, empowering risk managers, auditors, and compliance professionals to evaluate AI models, data processes, and governance frameworks confidently and systematically.


Course Format and Certification

  • Duration: 2 days (10 hours total)

  • Delivery: Live virtual sessions featuring interactive exercises, audit case simulations, and expert Q&A

  • Final Assessment: Optional 120-minute written exam with 80 multiple-choice and scenario-based questions (taken online, on-demand after course)

  • Passing Score: 80% or higher

  • Certification: Participants who pass the exam will earn the AIA-C (AI Audit Certification) diploma and may use the designation “AIA-C” professionally

  • CPE Credits: 10 Continuing Professional Education (CPE) credits awarded with a signed diploma upon course completion (regardless of exam)


Who Should Attend

This course is perfect for:

  • Internal and external auditors

  • Risk and compliance managers

  • Governance professionals

  • Legal and regulatory affairs teams

  • Data privacy officers

  • IT governance specialists

  • AI ethics and oversight committees

  • Professionals seeking to develop audit-ready knowledge of AI systems and processes

No AI technical background is required. An understanding of general audit principles is recommended.


What You Will Gain

  • A clear understanding of AI audit risks, controls, and compliance frameworks

  • Knowledge of key AI governance standards including ISO/IEC 42001, NIST AI Risk Management Framework, and OECD AI Principles

  • Methodologies for assessing AI model fairness, bias, explainability, and accountability

  • Audit checklists and reporting templates for evaluating AI lifecycle processes — from data acquisition to model deployment and monitoring

  • Practical guidance on AI regulatory requirements and data protection obligations in AI environments

  • A recognized certification credential in AI auditing literacy (optional exam required)


Next Steps

Participants who complete the course may opt to schedule their certification exam at a convenient time through the AI Risk Institute’s online assessment platform. Those who pass will receive a digital certificate and official diploma recognizing their AIA-C designation.

Register today to equip yourself with the critical skills needed to audit AI systems and safeguard organizational integrity in an AI-driven world.

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AR
Adrian Resag
0 Rating 7 Courses 2 Students

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Skill Level Intermediate
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