Lead AI Risk Manager
- CMDBID 100191332
- Course Code
- Duration 5 Days
AI Learning & Education Course
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Overview
The Lead 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 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.
. Explore more AI training hereAudience
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.
Skills Gained
Upon 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
- 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.
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.
Outline
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
. Explore more AI training hereCertification
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
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