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.
Rohit K. Upadhyay is the Founder and CEO of RiskAI Technologies GmbH, with over 15 years of experience in machine learning, data technologies, and distributed systems. He has led the development of more than a dozen FinTech and data-driven platforms and established AI programmes for financial institutions, enterprises, and government bodies, translating technical expertise into practical, high-impact solutions. As a trainer and advisor, Rohit has guided Fortune Global 500 companies in integrating AI into business strategy, particularly in regulated sectors. He created one of the world’s first AI leadership programmes for industries like finance and healthcare. Delivered globally, his programmes help organisations lead effectively and responsibly in the AI era. He holds a B.Eng. from McGill University and serves on the Board of Directors at NewOak Finance Inc., New York.
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