The exam is domain-based, covering AI risk concepts and regulations, governance, identification and analysis, evaluation/treatment/monitoring, and organizational learning and performance improvement.
The exam assesses your ability to manage AI risk end-to-end. Domains include AI risk principles and regulations, building an AI risk management program and governance, identifying and analyzing AI risks, evaluating and treating risks with monitoring, and driving organizational learning and performance improvement.
The stated delivery is online with a duration of three hours, and the exam is available in English.
Study by mapping each domain to concrete actions: governance setup, risk identification workflow, treatment decision rules, monitoring metrics, and post-incident learning loops.
“The exam tests both governance design and practical risk handling.”
Expert Trainer
Expert Trainer
AI risk management is the structured way to identify, assess, treat, and monitor AI risks—such as bias, security threats, transparency gaps, and compliance exposure—through governance, controls, and evidence.
Day 1 covers AI risk fundamentals; Day 2 covers context, governance, and risk identification; Day 3 covers analysis, evaluation, and treatment; Day 4 covers monitoring, reporting, awareness, and continual improvement.
They reduce failures from bias, privacy breaches, security issues, and non-compliance, and they help ensure AI stays aligned with business objectives over time.
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