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| Duration | Exam | Delivery | Certificate | Level |
| 5 Days | Included | Live Online & Self-Study | PECB | Intermediate |
The Lead AI Risk Manager Training helps professionals identify, assess, and manage artificial intelligence (AI) risks. You will learn how to reduce risks and support the safe use of AI systems.
The course covers AI risk management, governance, ethical concerns, and regulatory compliance. You will also learn about the NIST AI Risk Management Framework, the EU AI Act, and the MIT AI Risk Repository.
Practical examples will help you understand real-world AI risks and explore ways to manage them.
After completing the training and passing the exam, you can apply for the PECB Certified Lead AI Risk Manager credential.
Why Should You Attend?
AI creates new opportunities for businesses. However, it can also introduce risks such as bias, security threats, privacy concerns, and a lack of transparency.
Organizations need skilled professionals to identify these risks and manage them effectively. This course helps you build the skills needed to assess AI risks and develop suitable risk treatment plans.
You will learn how to apply AI risk management frameworks and support regulatory compliance. Practical exercises will help you understand how to manage AI risks in real-world situations.
Day 1: Introduction to AI risk management
Day 2: Organizational context, AI risk governance, and AI risk identification
Day 3: Analysis, evaluation, and treatment of AI risks
Day 4: AI risk monitoring and reporting, training and awareness, and optimizing AI risk performance
Day 5: Certification exam
The “PECB Certified Lead AI Risk Manager” exam meets all the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:
Domain 1: AI risk principles, concepts, and regulations
Domain 2: AI risk management program and governance
Domain 3: AI risk identification and analysis
Domain 4: AI risk evaluation, treatment, and monitoring
Domain 5: Organizational learning and performance improvement
After successfully completing the exam, you can apply for one of the credentials shown on the table below. You will receive a certificate once you fulfill all the requirements of the selected credential.
| Credential | Exam | Professional experience | Experience in Lead AI Risk Manager | Other requirements |
| PECB Certified AI Risk Provisional Manager | PECB Certified Lead AI Risk Manager Exam, or equivalent | None | None | Signing the PECB Code of Ethics |
| PECB Certified AI Risk Manager | PECB Certified Lead AI Risk Manager Exam, or equivalent | 2 years, of which at least 1 in AI risk management | At least 200 hours of AI risk management activities | Signing the PECB Code of Ethics |
| PECB Certified Lead AI Risk Manager | PECB Certified Lead AI Risk Manager Exam, or equivalent | 5 years, of which at least 2 in AI risk management | At least 300 hours of AI risk management activities | Signing the PECB Code of Ethics |
| PECB Certified Senior Lead AI Risk Manager | PECB Certified Lead AI Risk Manager Exam, or equivalent | 10 years, of which at least 7 in AI risk management | At least 1000 hours of AI risk management activities | Signing the PECB Code of Ethics |
To be considered valid, AI risk management activities should follow best implementation and management practices and include the following:
- Monitoring and reviewing the AI risk management program
- Determining the AI risk management objectives and scope
- Performing AI risk assessment
- Developing an AI risk management program
- Defining AI risk evaluation and risk acceptance criteria
- Evaluating risk treatment options for AI risks
- Certification fees are included in the exam price.
- Participants will be provided with training course materials containing over 450 pages of information, practical examples, exercises, and quizzes.
- An attestation of course completion worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course.
- Candidates who have completed the training course but failed the exam are eligible to retake it once for free within a 12-month period from the initial date of the exam.
Who Should Attend?
This training is suitable for:
- AI risk managers and risk management professionals
- IT and cybersecurity professionals
- Data scientists, data engineers, and AI developers
- Consultants who advise on AI risk management
- Legal, compliance, and AI ethics professionals
- Managers responsible for AI projects
- Executives who oversee responsible AI adoption
Learning Objectives
By the end of this course, you will be able to:
- Explain the main concepts of AI risk management
- Identify and assess AI-related risks
- Evaluate risks such as bias, security threats, and ethical concerns
- Develop risk treatment and mitigation plans
- Plan responses to AI-related incidents
- Apply the NIST AI Risk Management Framework
- Understand the EU AI Act and its role in AI governance
- Support responsible and compliant AI use
Educational Approach
The course combines theory with practical learning. Real-world examples help explain AI risks and ways to manage them.
You will take part in scenario-based exercises, group discussions, and quizzes. These activities help you apply AI risk management concepts and prepare for the certification exam.
Prerequisites
Participants should have a basic understanding of AI concepts and risk management principles.
Knowledge of AI governance frameworks, such as the NIST AI Risk Management Framework or the EU AI Act, is helpful but not required.
Need Help Before Enrolling?
Have questions about the course, pricing, or learning options? Our team will be happy to assist.
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