Certified AI Risk Manager

Course Overview

The AI Risk Manager training course equips participants with essential knowledge and skills to identify, assess, mitigate, and manage risks related to artificial intelligence (AI). Drawing from leading frameworks such as the NIST AI Risk Management Framework, the EU AI Act, and insights from the MIT AI Risk Repository, this course delivers a comprehensive and structured approach to AI risk governance, ethical risk management, and regulatory compliance.

Participants will analyze real-world AI risk scenarios from the MIT AI Risk Repository, gaining hands-on insights into real challenges and effective mitigation strategies in AI implementation.

Why Should You Attend?

AI is revolutionizing industries by enabling innovation and efficiency. However, with its growth comes a variety of emerging risks — from algorithmic bias and transparency issues to cybersecurity threats and regulatory concerns.

Traditional risk management approaches are often insufficient to address these new complexities. This course bridges that gap by offering a specialized, up-to-date AI risk management methodology. It enables professionals and organizations to anticipate, manage, and reduce AI risks while aligning with evolving global standards.

By passing the certification exam, you will earn the “PECB Certified AI Risk Manager” credential — a globally recognized certification that validates your expertise in responsible and compliant AI risk management.

Who Should Attend?

This course is designed for:

1. Risk management professionals responsible for AI-related risks
2. IT and security specialists focused on secure and ethical AI implementation
3. AI developers, data scientists, and data engineers
4. Consultants and advisors on AI risk mitigation and governance
5. Legal and compliance officers involved in AI regulations and ethics
6. Managers and project leaders overseeing AI deployment
7. Executives and decision-makers managing AI strategy and risk at a high level

Learning Objectives

Upon successful completion of this course, participants will be able to:

• Understand AI risk management fundamentals, concepts, and best practices
• Apply leading frameworks such as the NIST AI Risk Management Framework and EU AI Act
• Identify and assess critical AI risks, including:
• Bias and fairness issues
• Transparency and explainability
• Security vulnerabilities
• Ethical and societal impacts
• Design and implement effective risk mitigation strategies and incident response plans
• Integrate AI risk governance into organizational strategy and compliance frameworks
• Monitor, evaluate, and improve AI risk management processes to respond to evolving technologies and regulations
• Advise stakeholders on ethical AI adoption and regulatory compliance

Educational Approach

This training program combines theory with practice and includes:

1. Instructor-led sessions supported by real-world case studies and examples
2. Interactive discussions and collaborative scenario-based activities
3. Multiple-choice quizzes that simulate the structure and style of the certification exam
4. Hands-on application of frameworks and tools for AI risk identification and management
5. Participants are encouraged to actively engage, share perspectives, and apply course concepts through practical exercises.