The AI Risk Manager training course equips participants with the essential knowledge and skills to identify, assess, mitigate, and manage AI-related risks. Based on leading frameworks such as the NIST AI Risk Management Framework, the EU AI Act, and insights from the MIT AI Risk Repository, this course provides a structured approach to AI risk governance, regulatory compliance, and ethical risk management.Participants will also analyze real-world AI risk scenarios from the MIT AI Risk Repository, gaining practical insights into AI risk challenges and effective mitigation strategies.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 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 AI Risk Manager” credential.Who Should Attend?This training course is intended for:
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 ObjectivesUpon successfully completing the training course, participants will be able to:
Understand AI risk management fundamentals, including key concepts, approaches, and techniques for identifying, assessing, and mitigating AI-related risks
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
Identify and assess 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
Integrate AI risk management into business strategy, ensuring AI initiatives align with organizational objectives while maintaining compliance with industry regulations
Continually monitor, evaluate, and improve AI risk management processes to adapt to emerging risks and evolving AI technologies
Advise key stakeholders on responsible AI adoption, providing guidance on ethical AI deployment, regulatory compliance, and best practices in AI risk governance
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.
PrerequisitesThe 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.The “PECB Certified AI Risk Manager” exam meets all the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:1: Fundamental principles and concepts of AI risk management2: AI risk identification and assessment3: AI risk measurement4: AI risk mitigation, governance, and incident response5: AI risk monitoring and continual improvement strategiesFor specific information about the exam type, languages available, and other details, please visit the List of PECB Exams and Exam Rules and Policies.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
Risk Management experience
Other requirements
PECB Certified AI Provisional Risk Manager
PECB Certified AI Risk Manager Exam, or equivalent
None
None
Signing the PECB Code of Ethics
PECB Certified AI Risk Manager
PECB Certified 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 AI Lead Risk Manager
PECB Certified 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 AI Senior Lead Risk Manager
PECB Certified 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:
Establishing an AI risk management framework
Defining AI risk management objectives and scope
Identifying and assessing AI-related risks
Developing an AI risk mitigation and response strategy
Defining AI risk evaluation and acceptance criteria
Supporting compliance with industry frameworks and regulatory requirements
Monitoring, reviewing, and continuously improving the AI risk management program
For more information about AI Risk Manager certifications and the PECB Certification process, please refer to Certification Rules and Policies.
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 12 months from the initial date of the exam.
For additional information, please contact us at info@atgic.ca, or visit atgic.caThe AI Risk Manager training course equips participants with the essential knowledge and skills to identify, assess, mitigate, and manage AI-related risks. Based on leading frameworks such as the NIST AI Risk Management Framework, the EU AI Act, and insights from the MIT AI Risk Repository, this course provides a structured approach to AI risk governance, regulatory compliance, and ethical risk management.Participants will also analyze real-world AI risk scenarios from the MIT AI Risk Repository, gaining practical insights into AI risk challenges and effective mitigation strategies.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 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 AI Risk Manager” credential.Who Should Attend?This training course is intended for:
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 ObjectivesUpon successfully completing the training course, participants will be able to:
Understand AI risk management fundamentals, including key concepts, approaches, and techniques for identifying, assessing, and mitigating AI-related risks
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
Identify and assess 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
Integrate AI risk management into business strategy, ensuring AI initiatives align with organizational objectives while maintaining compliance with industry regulations
Continually monitor, evaluate, and improve AI risk management processes to adapt to emerging risks and evolving AI technologies
Advise key stakeholders on responsible AI adoption, providing guidance on ethical AI deployment, regulatory compliance, and best practices in AI risk governance
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.
PrerequisitesThe 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.The “PECB Certified AI Risk Manager” exam meets all the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:1: Fundamental principles and concepts of AI risk management2: AI risk identification and assessment3: AI risk measurement4: AI risk mitigation, governance, and incident response5: AI risk monitoring and continual improvement strategiesFor specific information about the exam type, languages available, and other details, please visit the List of PECB Exams and Exam Rules and Policies.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
Risk Management experience
Other requirements
PECB Certified AI Provisional Risk Manager
PECB Certified AI Risk Manager Exam, or equivalent
None
None
Signing the PECB Code of Ethics
PECB Certified AI Risk Manager
PECB Certified 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 AI Lead Risk Manager
PECB Certified 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 AI Senior Lead Risk Manager
PECB Certified 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:
Establishing an AI risk management framework
Defining AI risk management objectives and scope
Identifying and assessing AI-related risks
Developing an AI risk mitigation and response strategy
Defining AI risk evaluation and acceptance criteria
Supporting compliance with industry frameworks and regulatory requirements
Monitoring, reviewing, and continuously improving the AI risk management program
For more information about AI Risk Manager certifications and the PECB Certification process, please refer to Certification Rules and Policies.
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 12 months from the initial date of the exam.
