| Course | Centre | Day | Date | Time | Hours | Trainer | Enrollment |
|---|---|---|---|---|---|---|---|
| Lead AI Risk Manager * New * | Wanchai | FRI | 9 Oct 2026 | 7:00 – 10:00pm | 21 | Steve Yu (PECB Certified Gold Trainer) |  |
Great Learning is the Authorized Gold Training Partner of PECB.
Course Duration: 21 hours, 7 sessions of 3 hours each
Course Fee: HKD14,000 (includes exam fee of HKD4,000)
Language of Delivery: Cantonese with English Terms
Why AI Risk Management is important?
AI risk management is the systematic process of identifying, assessing, mitigating, and monitoring risks related to artificial intelligence (AI) technologies. The goal is to reduce potential negative consequences while maximizing AI’s benefits, ensuring that AI systems remain secure, ethical, and aligned with regulatory standards.
Unlike traditional risk management methods that often rely on historical data and manual analysis, AI-driven risk management can adapt dynamically in real time, using advanced tools such as machine learning and data analytics. This approach helps organizations identify, assess, and address risks efficiently and accurately.
Organizations implement structured AI risk management frameworks to establish clear policies, procedures, and responsibilities throughout the AI life cycle. These frameworks ensure that AI systems are developed and maintained responsibly, ethically, and in compliance with regulatory standards.
Widely used AI risk management frameworks include:
- NIST AI Risk Management Framework
- EU AI Act
- ISO/IEC Standards
- US Executive Order on AI
Official Brochure
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.
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
- Intemational Al standards and frameworks
- Overview of Al laws and regulations worldwide
- Understanding risks, impacts, and harms
- Al life cycle
- Al risk management program
- Organizational context and Al risk governance
- Al risk mapping and identification
- Al risk analysis
- Al risk evaluation and prioritization
- Al risk treatment
- Al risk monitoring and reporting
- Training and awareness
- Optimizing and evaluating Al risk performance
- 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
Number of Questions: 80 Questions
Exam Duration: 3 Hours
Exam Format: Multiple Choice, Open Book
Exam Location: Great Learning Education Centre
Passing Mark: 70%
In case of failure, participants are entitled to retake an additional free exam under certain conditions.
This course includes the Registration Fee (USD 500) of Lead AI Risk Manager certification after passing the exam.
Accredited course material
- Great Learning is the Authorized Gold Training Partner of PECB
- Great Learning has solid experience in delivering PECB courses.
- Most ISO training providers deliver courses just in office hours. We offer study schedule during both office and non office hours.
- Unlimited re-sit within 1 year. All lessons can be re-sit, refreshing your knowledge all the way.
- We are the IT technical and management specialists, highly experienced in delivering complicated and conceptual knowledge in an effective way.