Certified AI Auditor QACAIA-QA

QACAIA-QA
Price on request

The Certified AI Auditor course equips professionals with practical knowledge and skills to assess, audit, and govern AI systems effectively. The course provides a structured approach to evaluating AI risks, ensuring regulatory compliance, and promoting ethical and responsible AI use. It prepares participants to provide independent assurance over AI systems, addressing concerns such as bias, transparency, data integrity, security vulnerabilities, and compliance with evolving regulations.

Explain core AI concepts, AI system lifecycle activities, and the role of audit in AI assurance
Assess AI governance, accountability, risk, ethics, transparency, bias, security, and control environments
Plan and execute AI audit engagements, including audit objectives, scope, criteria, resources, work programmes, and evidence collection
Evaluate AI audit evidence and test AI controls, including model cards, system maps, data quality, fairness, performance, robustness, traceability, and monitoring
Report AI audit findings, communicate conclusions, recommend corrective actions, and verify remediation through follow-up activities

Certified AI Auditor

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