PECB Lead AI Risk Manager
Develop the competence to lead artificial intelligence (AI) risk management aligned with recognized frameworks and standards in this five-day PECB certification course. The course covers identifying, assessing and treating the risks that AI systems create across their lifecycle. Earn the internationally recognized PECB Certified Lead AI Risk Manager credential.
CREDENTIAL
Awarded by PECB. PECB sets and marks the examination and awards the credential. Standards Academy delivers the training and administers the enrolment.
About This Course
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.
Learning Objectives
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
Course Agenda
Introduction to AI risk management
Organizational context, AI risk governance, and AI risk identification
Analysis, evaluation, and treatment of AI risks
AI risk monitoring and reporting, training and awareness, and optimizing AI risk performance
Certification exam
Who Should Attend
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.
On passing the exam, PECB awards the credential that corresponds to the candidate's professional experience:
| Credential | Experience required |
|---|---|
| PECB Certified AI Risk Provisional Manager | No professional experience required |
| PECB Certified AI Risk Manager | Two years of professional experience, including one year in AI risk management200 hours of AI risk management activities |
| PECB Certified Lead AI Risk Manager | Five years of professional experience, including two years in AI risk management300 hours of AI risk management activities |
| PECB Certified Senior Lead AI Risk Manager | Ten years of professional experience, including seven years in AI risk management1,000 hours of AI risk management activities |
Every credential requires the candidate to sign the PECB Code of Ethics.
Frequently asked questions
Format and price
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Quick Facts
- Duration
- 5 days
- CPD Credits
- 31
- Language
- English
- Provider
- PECB
- Category
- AI
What's Included
- PECB certification exam voucher
- Comprehensive course materials
- Practical exercises and case studies
- Certificate of course completion
- Access to course resources