Certified Lead AI Risk Manager

QAAIRM-QA
Cena na vyžádání

This course equips professionals with the knowledge and tools to identify, assess, and mitigate AI-related risks within modern organisations. It explores the principles of AI governance, compliance, and ethics through globally recognised frameworks such as the NIST AI Risk Management Framework and the EU AI Act. Learners will gain hands-on experience applying these frameworks to real-world scenarios involving bias, security vulnerabilities, and transparency challenges. By the end of the course, participants will understand how to embed AI risk management within organisational strategy to ensure responsible, compliant, and ethical AI adoption.

Explain the key concepts and principles of AI risk management and governance
Apply frameworks such as the NIST AI Risk Management Framework and the EU AI Act to evaluate compliance and ethical considerations
Identify and assess AI risks, including bias, data security, transparency, and accountability concerns
Develop and implement AI risk mitigation and incident response strategies
Integrate AI risk management into wider business and compliance frameworks
Analyse real-world case studies to identify lessons learned and best practices for AI risk control
Promote responsible AI use across the organisation through governance and continual improvement

Certified Lead AI Risk Manager

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