The MIM Certified AI Risk Analyst course prepares professionals to manage AI-related risks, align with global regulations, and ensure ethical, safe and compliant AI deployment.
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The MIM Certified AI Risk Analyst programme provides professionals with the essential skills to identify, manage, and mitigate risks associated with AI technologies. Delivered by the Malaysian Institute of Management (MIM), this course covers AI governance, regulatory compliance, ethical design principles, and risk mitigation strategies. Participants will explore real-world frameworks, tools, and simulations to assess AI systems across their lifecycle. This certification is ideal for professionals involved in technology governance, compliance, and oversight who seek to lead safe and transparent AI adoption.
Participants for the Certified AI Risk Analyst program must meet the following minimum requirements:
• Have minimum two years demonstrated professional experience in industry.
• Must successfully complete the AI Governance Professional examination within 6 months of enrollment.
• Overview of AI technologies.
• Supervised vs. Unsupervised learning.
• Importance of data in AI.
• Applications: NLP, computer vision, speech processing.
• Algorithms: Neural networks, SVMs, decision trees, clustering.
• Introduction to Generative AICase studies: Credit modelling (finance), triage (healthcare).
• Motivation behind AI regulation.
• Global regulatory landscape.
• Malaysian AI Guidelines and Ethics.
• AI risk frameworks: ISO, NIST, COSO.
• BImportance of ethics in AI.
• Introduction to AI governance and responsible AI.
• Principles: transparency, accountability, human oversight.
• Explainability and interpretability.
• Governance structures and the 3 Lines of Defence (3LoD).
• Common governance challenges.
• Types of AI risks: ethical, operational, regulatory, security.
• Key risk factors and assessment approaches.
• AI risk management lifecycle.
• Tailored risk controls: audits, model validation, security.
• Ongoing monitoring of AI systems.
• Reporting and communicating AI risk outcomes.
The syllabus for the Certified AI Risk Analyst program is designed for professionals who want to gain a foundational knowledge of how to identify and manage AI risks in their organizations. These topics are divided into several modules, and participants' knowledge is tested through an exam. The examination will consist of a single exam of three (3) hours duration which consists of 100 multiple choice questions. Participants must achieve a passing mark of 80% or more for successful certification.
CEO & Co-founder of RiskAI Technologies, expert in AI risk solutions. Over 10 years’ experience in AI, analytics, and governance strategy. Holds a Master’s in Data Science, with deep expertise in regulatory compliance. Global speaker and advisor on ethical and responsible AI use. Works closely with policy leaders and industry pioneers to shape AI regulation. Known for bridging technical risk with strategic business outcomes.
