PRMIA AI RM Certification Exam Syllabus
To achieve the professional designation of PRMIA AI Risk Management from the PRMIA, candidates must clear the AI RM Exam with the minimum cut-off score. For those who wish to pass the PRMIA AI Risk Management certification exam with good percentage, please take a look at the following reference document detailing what should be included in PRMIA AI Risk Management Exam preparation.
The PRMIA AI RM Exam Summary, Body of Knowledge (BOK), Sample Question Bank and Practice Exam provide the basis for the real PRMIA AI Risk Management (AI RM) exam. We have designed these resources to help you get ready to take PRMIA AI Risk Management (AI RM) exam. If you have made the decision to become a certified professional, we suggest you take authorized training and prepare with our online premium PRMIA AI Risk Management Practice Exam to achieve the best result.
PRMIA AI RM Exam Summary:
| Exam Name | PRMIA AI Risk Management |
| Exam Code | AI RM |
| Exam Fee |
Sustaining Member Price - $549 Contributing Member Price - $572 Non-member Price - $599 |
| Exam Duration | 120 Minutes |
| Number of Questions | 60 |
| Passing Score | 60 |
| Format | Multiple Choice Questions |
| Schedule Exam | Pearson VUE |
| Sample Questions | PRMIA AI Risk Management Exam Sample Questions and Answers |
| Practice Exam | PRMIA AI Risk Management (AI RM) Practice Test |
PRMIA AI Risk Management Syllabus Topics:
| Topic | Details |
|---|---|
| Foundations of Artificial Intelligence | - Introduces the core concepts of AI, machine learning, and modern AI development, including how AI systems function and where they are commonly applied. |
| Data Fundamentals, Regulation and Infrastructure | - Covers the importance of data quality, data governance, privacy regulation, and the technical infrastructure required to support AI systems effectively. |
| AI Tools and Techniques | - Explores key AI methodologies and technologies including machine learning models, neural networks, generative AI, and practical implementation techniques. |
| AI as an Enabler of Modern Risk Management | - Examines how AI can enhance risk identification, monitoring, reporting, analytics, and decision-making across modern risk management functions. |
| AI Threats, Ethics and Regulation | - Reviews the risks associated with AI including bias, misuse, cyber threats, ethical concerns, and the emerging regulatory landscape. |
| AI Governance, Risk and Compliance (GRC) | - Focuses on governance frameworks, controls, oversight structures, and compliance processes required to manage AI safely and responsibly. |
| The Future of Artificial Intelligence | - Considers emerging AI trends, future technological developments, and how AI may continue to reshape industries and risk landscapes. |
Both PRMIA and veterans who’ve earned multiple certifications maintain that the best preparation for a PRMIA AI RM professional certification exam is practical experience, hands-on training and practice exam. This is the most effective way to gain in-depth understanding of PRMIA AI Risk Management concepts. When you understand techniques, it helps you retain PRMIA AI Risk Management knowledge and recall that when needed.
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