Certified AI Risk Management Professional

Overview

This intensive three-day certification program equips professionals with the knowledge and practical skills to identify, assess, mitigate, and govern risks associated with artificial intelligence systems. Grounded in leading frameworks such as the NIST AI Risk Management Framework, the EU AI Act, and ISO/IEC 42001, the training provides a structured approach to AI risk governance, regulatory compliance, and ethical risk management across the AI lifecycle. Participants gain the competencies required to ensure AI systems remain secure, ethical, and aligned with evolving regulatory standards while supporting responsible innovation.

Key Objectives

• Provide a comprehensive understanding of AI risk management fundamentals, including key concepts, approaches, and techniques for identifying, assessing, and mitigating AI-related risks

• Equip participants with the ability to apply established AI risk management frameworks such as the NIST AI RMF and the EU AI Act to ensure governance, compliance, and ethical AI use

• Develop skills to identify and assess AI-specific risks including bias, security vulnerabilities, transparency issues, and ethical concerns

• Enable participants to design and implement risk mitigation strategies and incident response measures for AI-related threats

• Prepare participants for the certification examination and the responsibilities of an AI risk management professional

Outcomes

Upon completion, participants will be able to:

• Explain the fundamental concepts, principles, and regulatory landscape of AI risk management

• Apply AI risk taxonomies and structured assessment methodologies to evaluate AI systems

• Conduct AI risk and impact assessments using established frameworks and tools

• Develop and implement AI governance structures, policies, and accountability mechanisms

• Integrate AI risk management into enterprise risk management (ERM) frameworks

• Manage AI risk across the full AI lifecycle, from design through deployment and monitoring

• Communicate AI-related risks effectively to technical and non-technical stakeholders

• Sit for the certification examination with confidence

Who Can Attend

This training course is intended for:

• Professionals responsible for identifying, assessing, and managing AI-related risks within their organizations

• IT and cybersecurity professionals seeking expertise in AI risk management

• Data scientists, data engineers, and AI developers working on AI system design, deployment, and maintenance

• Consultants advising organizations on AI risk management and mitigation strategies

• Legal and ethical advisors specializing in AI regulations, compliance, and societal impacts

• Managers and leaders overseeing AI implementation projects and ensuring responsible AI adoption

• Executives and decision-makers aiming to understand and address AI-related risks at a strategic level

• Risk managers, compliance officers, and GRC professionals

Agenda / Content

Day 1: Foundations of AI Risk Management

• Introduction to Artificial Intelligence and Machine Learning

• AI Risk Management Concepts and Definitions

• Overview of AI Risk Frameworks: NIST AI RMF, EU AI Act, ISO/IEC 42001

• Regulatory Landscape and Compliance Requirements

• AI Risk Taxonomies and Common AI Failure Patterns

• The AI Lifecycle and Risk Implications

Day 2: AI Risk Identification, Assessment, and Measurement

• AI Risk Identification Techniques

• Bias, Fairness, and Ethical Risk Assessment

• Security Vulnerabilities and Technical Robustness

• Transparency, Explainability, and Accountability

• AI Risk Assessment Methodologies and Tools

• Data Quality, Privacy, and Model Risk

Day 3: AI Risk Mitigation, Governance, and Certification

• AI Risk Mitigation Strategies and Controls

• AI Governance Structures and Accountability Models

• Incident Response and Business Continuity for AI Systems

• Third-Party AI Governance and Vendor Assurance

• Monitoring, Reporting, and Continual Improvement

• Exam Preparation and Certification Examination

Benefits

• Globally recognized professional certification validating expertise in AI risk management and responsible governance

• Enhanced career prospects in the rapidly growing field of AI governance, risk, and compliance

• Ability to create and protect organizational value through effective AI risk management

• Improved organizational preparedness for AI regulations, assessments, and audits

• Stronger governance and accountability structures for AI systems

• Increased confidence in AI-driven business decisions

• Networking with AI risk management professionals

• Continuing Professional Development (CPD) credits upon course completion

Key Takeaways

• Mastery of AI risk management principles, frameworks, and regulatory requirements

• Proficiency in applying the NIST AI RMF and EU AI Act to organizational contexts

• Ability to identify, assess, and mitigate AI-specific risks including bias, security, and ethical concerns

• Skills in designing AI governance structures and lifecycle controls

• Knowledge of AI risk integration into enterprise risk management

• Certification as a Certified AI Risk Management Professional (upon meeting requirements)

Methodology

• Theory-based instruction grounded in AI risk management best practices and leading frameworks

• Lecture sessions illustrated with practical examples and real-world AI risk scenarios

• Interactive group discussions and knowledge-sharing among participants

• Case study analysis of both successful AI adoption and notable AI failures

• Scenario-based exercises to apply risk management concepts in practical contexts

• Practice quizzes structured to mirror the certification exam format

• Open-book examination format that evaluates comprehension, application, and analytical skills

• Certification exam covering core competency domains: AI risk management principles and regulations; AI risk program governance; AI risk identification and analysis; risk evaluation, treatment, and monitoring; and organizational learning and performance improvement