AI Risk Manager

This training prepares professionals to identify, assess, manage, and mitigate risks associated with artificial intelligence systems and AI-enabled operations.

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By the end of this training, participants will be able to:

[ Participants gain foundational understanding of AI risk governance and emerging operational challenges. ]

[ Focus is placed on identifying operational, technical, ethical, and compliance risks associated with AI systems. ]

[ Develop AI governance and compliance strategies. ]

[ Improve organizational resilience and responsible AI adoption. ]

Full programme information

Day 1 – Introduction to AI Risk Management

Fundamentals of AI risk management
AI governance principles
Responsible AI concepts
AI-related threats and challenges
Regulatory and compliance overview

Day 2 – Organizational Context, Governance, and AI Risk Identification

Organizational AI governance structures
AI risk governance frameworks
AI system context and stakeholders
AI risk identification methodologies
AI lifecycle considerations

Day 3 – Analysis, Evaluation, and Treatment of AI Risks

AI risk analysis techniques
Bias, fairness, and explainability challenges
Security vulnerabilities in AI systems
AI risk treatment strategies
Incident response considerations for AI environments

Day 4 – Monitoring, Reporting, Awareness, and Performance Optimization

AI risk monitoring and reporting
Governance metrics and indicators
Training and awareness programs
Continual improvement methodologies
AI performance optimization and organizational learning

Day 5 – Certification Exam

PECB Certified Lead AI Risk Manager exam
Evaluation of:
- AI governance understanding
- Risk identification and mitigation capability
- Compliance and ethical AI knowledge
- Operational AI risk management expertise

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ADDED VALUE

Participants gain foundational understanding of AI risk governance and emerging operational challenges.

Focus is placed on identifying operational, technical, ethical, and compliance risks associated with AI systems.

Participants learn how to evaluate and mitigate AI-specific risks in operational environments.

This module focuses on maintaining sustainable and adaptive AI governance practices.

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AI Risk Manager

Full programme information

Day 1 – Introduction to AI Risk Management

Day 2 – Organizational Context, Governance, and AI Risk Identification

Day 3 – Analysis, Evaluation, and Treatment of AI Risks

Day 4 – Monitoring, Reporting, Awareness, and Performance Optimization

Day 5 – Certification Exam

ADDED VALUE

Our other trainings

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Interested in a tailored cohort or partner-delivered training? 