Why Should You Attend?
Artificial intelligence (AI) is transforming industries at an accelerated pace, driving innovation while simultaneously introducing new risks and challenges. As AI technologies advance, organizations must address critical concerns such as bias, security threats, transparency, and regulatory compliance. Managing these risks effectively requires a specialized approach that goes beyond traditional risk management frameworks.
The PECB Certified Lead AI Risk Manager certification validates your expertise in identifying, assessing, and mitigating AI-related risks while ensuring compliance with industry frameworks and regulations.
Upon passing the certification exam, participants can apply for the “PECB Certified Lead AI Risk Manager” credential.
Who can take this Course?
- Professionals responsible for identifying, assessing, and managing AI-related risks within their organizations
- IT and security 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
Learning objectives
By the end of this training course, the participants will be able to:
- Understand AI risk management fundamentals, including key concepts, approaches, and techniques for identifying, assessing, and mitigating AI-related risks
- Identify, analyze, evaluate, and treat AI risks, such as bias, security vulnerabilities, transparency issues, and ethical concerns
- Develop and implement risk mitigation strategies and incident response measures to address AI-related threats and vulnerabilities
- Apply established AI risk management frameworks, such as the NIST AI Risk Management Framework and the EU AI Act, to ensure governance, compliance, and ethical AI use
Educational approach
- The training course combines theoretical knowledge with practical applications, using real-world examples to illustrate the identification and mitigation of AI risks.
- The course includes various interactive activities, such as scenario-based exercises and multiple-choice quizzes, designed to deepen understanding of AI risk management principles.
- Participants are encouraged to engage in discussions and collaborate during exercises and quizzes.
- The quizzes are structured similarly to the certification exam, helping participants familiarize themselves with the exam format and key concepts.
Course Agenda
- 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
Prerequisites
The main requirements for participating in this training course are having a fundamental understanding of AI concepts and a general knowledge of risk management principles. Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or the EU AI Act, is beneficial but not mandatory.
Downloads
The Course
Brochure
The Candidate
Handbook
- Certification and examination fees are included in the price of the training course.
- Training material containing information and practical examples will be distributed.
- In case of exam failure, you can retake the exam within 12 months free of charge
- An attestation of course completion will be issued to the participants who have attended the training course.
