Course Overview
The Certified Lead AI Risk Manager training course develops the knowledge and skills required to identify, assess, mitigate, and manage risks associated with artificial intelligence. It addresses AI-specific concerns including bias, security vulnerabilities, transparency, ethical considerations, and regulatory compliance.
The course provides a structured approach to AI risk governance, identification, analysis, evaluation, treatment, monitoring, and reporting. Participants learn to apply recognized frameworks and regulatory requirements, including the NIST AI Risk Management Framework and the EU AI Act, while developing approaches for risk mitigation, incident response, organizational awareness, and continual improvement of AI risk management performance.
Course Objective
- Understand AI risk management fundamentals, including key concepts, approaches, and techniques
- Identify AI-related risks, including bias, security vulnerabilities, transparency issues, and ethical concerns
- Analyze AI risks to determine their potential organizational impact
- Evaluate identified AI risks using appropriate risk management approaches
- Treat AI risks through appropriate mitigation strategies and controls
- Develop and implement risk mitigation strategies for AI-related threats and vulnerabilities
- Develop incident response measures for AI-related risks
- Apply the NIST AI Risk Management Framework to AI risk management activities
- Apply the EU AI Act to support AI governance, compliance, and ethical AI use
- Monitor, report, and optimize organizational AI risk management performance
Pre-requisites
A fundamental understanding of AI concepts and general knowledge of risk management principles are required. Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or the EU AI Act, is beneficial but not mandatory.
Course Curriculum
