About the course.

The AI Risk Management course is designed to equip professionals with the knowledge, frameworks, and practical tools needed to identify, assess, mitigate, and monitor risks associated with the use of artificial intelligence (AI) technologies. In an era where AI is rapidly reshaping industries, the ability to manage its risks effectively is essential to ensure security, transparency, and regulatory compliance.

This course introduces participants to the core principles of AI risk management, covering the entire AI lifecycle — from data collection and model design to deployment and continuous monitoring. You will learn how to evaluate potential ethical, technical, and operational risks, while developing strategies to minimize unintended outcomes such as bias, privacy breaches, or model failures.

Unlike traditional risk management approaches that rely on static data and manual review, AI risk management emphasizes real-time, data-driven decision-making powered by machine learning and analytics. Participants will explore how to build adaptive risk frameworks that enable organizations to respond swiftly to emerging AI challenges and maintain accountability at every stage of implementation.

By the end of this programme, you will understand how to establish governance structures, ethical guidelines, and compliance procedures that ensure responsible AI deployment. You’ll also be able to guide organizations in developing trustworthy and human-centered AI systems that balance innovation with integrity.

This certification is ideal for AI specialists, project managers, data officers, compliance professionals, and business leaders who aim to lead AI initiatives responsibly ensuring that technology serves people, organizations, and society safely and effectively.

What you will learn.

Day 1

Introduction to AI Risk Management

Begin your learning journey with an overview of the principles, objectives, and importance of AI risk management. You’ll explore the fundamental concepts behind managing risks associated with artificial intelligence systems, including ethical considerations, compliance requirements, and societal impacts. This session lays the groundwork for understanding how responsible risk management ensures the safe, transparent, and trustworthy use of AI across industries.

Day 2

Organizational Context, AI Risk Governance, and AI Risk Identification

Learn how to align AI risk management with your organization’s governance framework, strategy, and objectives. Participants will discover how to establish clear roles, responsibilities, and policies for AI oversight. The session also covers risk identification techniques, helping you recognize and categorize AI-related risks such as data bias, algorithmic errors, privacy issues, and reputational threats throughout the AI lifecycle.

Day 3

Analysis, Evaluation, and Treatment of AI Risks

This session focuses on how to analyze and evaluate identified risks using both qualitative and quantitative approaches. You’ll learn how to assess risk likelihood and impact, prioritize high-risk areas, and apply mitigation measures to reduce vulnerabilities. By the end of this module, you’ll be able to design a comprehensive AI risk treatment plan tailored to your organization’s goals and compliance needs.

Day 4

AI Risk Monitoring and Reporting, Training and Awareness, and Optimizing AI Risk Performance

Understand how to monitor and review AI risk performance through continuous data analysis and performance indicators. Participants will learn best practices for reporting findings to stakeholders, establishing internal awareness programs, and promoting a culture of ethical AI use. This day also focuses on how to enhance your organization’s AI risk maturity, ensuring ongoing optimization, transparency, and accountability in AI operations.

Day 5

Certification Examination

The training concludes with a comprehensive certification examination that evaluates your understanding of AI risk management concepts, tools, and frameworks. Upon passing the exam, participants will earn the Certified Artificial Intelligence Risk Management (AI-RM) Professional credential recognizing your expertise in leading, managing, and implementing AI risk management strategies that align with international standards and best practices.

Why Choose MSDI?

Trusted by leading corporations and government agencies across Malaysia, MSDI has empowered thousands of professionals through its wide range of nationally and internationally accredited training programmes. Here are some of our featured clients:

Certification Awarding Body

Who should take this course?

• 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