About the Lead AI Risk Manager
The PECB Lead AI Risk Manager programme equips you to identify, assess and manage the risks that come with artificial intelligence. Delivered fully self-paced and online, it draws on recognised frameworks — ISO/IEC 23894, ISO/IEC 42001, the NIST AI Risk Management Framework and the EU AI Act — to give you a structured, defensible approach to AI risk.
You’ll learn to set up AI risk governance, identify risks such as bias, security vulnerabilities and lack of transparency, and analyse, evaluate, treat and monitor them across the AI lifecycle. It suits professionals accountable for the safe and responsible use of AI.
Course Information
What You Will Learn
Course Curriculum
- AI concepts and risk fundamentals
- AI risk principles and regulations
- Recognised frameworks and the EU AI Act
- The AI risk landscape
- Establishing the organisational context
- AI risk governance
- Identifying AI risks
- Roles and responsibilities
- Analysing AI risks
- Evaluating and prioritising risk
- Risk treatment strategies
- Mitigating bias and security risks
- AI risk monitoring and reporting
- Training and awareness
- Optimising AI risk performance
- Organisational learning
- The five competency domains
- Revision and exam technique
- Booking and sitting the PECB exam
Get the Full Syllabus as a PDF
Curriculum, exam format & everything included — sent straight to your inbox.
All You Need to Know
This programme suits professionals responsible for AI risk, including:
- IT and security professionals and data scientists
- AI developers and project managers
- Consultants and legal advisors on AI
- Executives addressing organisational AI risk
A fundamental understanding of AI concepts and general knowledge of risk management principles are recommended. Familiarity with the NIST AI RMF or the EU AI Act is helpful but not required.
The PECB Certified Lead AI Risk Manager exam covers five competency domains: AI risk principles and regulations; governance; identification and analysis; evaluation, treatment and monitoring; and organisational learning. Completing the training earns 31 CPD credits.
What Our Learners Say
This course sharpened skills I already had and filled in the gaps around artificial intelligence governance. My manager noticed the difference within a month of me completing the Lead AI Risk Manager certification.
What stood out about this Lead AI Risk Manager training was how practical it was — real case studies, not just theory. I walked away confident about artificial intelligence governance and ready to apply it immediately.
Great value for the depth of content. The Lead AI Risk Manager training covered artificial intelligence governance thoroughly, and the exam voucher being included made budgeting for it simple.
The Lead AI Risk Manager course gave me a clear, structured path to strengthen our information security posture. The instructors explained artificial intelligence governance in a way that was easy to apply on the job, and I passed the exam on my first attempt.
I'd been putting off Lead AI Risk Manager certification for a while, but the self-paced format made it manageable alongside a full-time job. Learning to strengthen our information security posture felt achievable within a few weeks.
Career Opportunities After This Training
AI risk managers identify and mitigate risks across the AI system lifecycle, applying the structured approach covered in the Lead AI Risk Manager certification.
Hiring Companies
Average Salary
AI governance consultants help organisations build policies and controls for responsible AI use, aligning deployments with emerging regulation and internal risk appetite.
Hiring Companies
Average Salary
ML compliance analysts monitor machine learning systems for bias, drift and regulatory exposure, feeding findings into the wider AI risk management programme.
Hiring Companies
Average Salary
Frequently Asked Questions
A PECB credential proving you can identify, assess and manage the risks of artificial intelligence systems, drawing on frameworks such as ISO/IEC 42001 and ISO/IEC 23894 for AI governance and risk.
As organisations deploy AI, they face new risks around bias, safety, privacy, transparency and regulation (such as the EU AI Act). This course gives you a structured way to govern and control those risks.
The exam is an essay-type, open-book paper of roughly 3 hours. You need the passing score set by PECB (generally around 70%). After passing you receive a 'Certificate of Exam Success', and the full certification is issued once you also meet PECB's professional-experience requirements.
Risk managers, compliance officers, data and AI professionals, and consultants responsible for the responsible, compliant use of AI.
Yes — the exam voucher is included in the course package. Speak to a Profice advisor to confirm current pricing and what each package includes.