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AI Risk Manager

  • 4.9(7,948 Rating)

Course Overview

The AI Risk Manager training course equips participants with the essential knowledge and skills to identify, assess, mitigate, and manage AI-related risks. Based on leading frameworks such as the NIST AI Risk Management Framework, the EU AI Act, and insights from the MIT AI Risk Repository, this course provides a structured approach to AI risk governance, regulatory compliance, and ethical risk management.

Participants will also analyze real-world AI risk scenarios from the MIT AI Risk Repository, gaining practical insights into AI risk challenges and effective mitigation strategies.

Why Should You Attend?

Artificial intelligence (AI) is transforming industries at an accelerated pace, driving innovation while simultaneously introducing new risks and challenges. As AI technologies advance, organizations must address critical concerns such as bias, security threats, transparency, and regulatory compliance. Managing these risks effectively requires a specialized approach that goes beyond traditional risk management frameworks.

The PECB Certified AI Risk Manager certification validates your expertise in identifying, assessing, and mitigating AI-related risks while ensuring compliance with industry frameworks and regulations.

Upon passing the certification exam, participants can apply for the “PECB Certified AI Risk Manager” credential.

Flexible Training Options to
Meet Your Needs

We understand that flexibility is key to effective learning and development, especially in today’s dynamic work environment. That’s why we offer multiple delivery formats for our trainings in UAE. Whether you prefer the interaction of in-person classes, the convenience of live virtual training, or the independence of self-paced online learning, we have a solution tailored to your schedule. Our goal is to make professional growth accessible to everyone, allowing you to upskill without compromising your other commitments.

Target Audiance

  • 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

Schedule Dates

03 November 2025 - 07 November 2025
AI Risk Manager
09 February 2026 - 13 February 2026
AI Risk Manager
11 May 2026 - 15 May 2026
AI Risk Manager
17 August 2026 - 21 August 2026
AI Risk Manager

Course Content

  • Introduction to AI risk management

  • AI risk identification, assessment, and measurement

  • AI risk mitigation, governance, and incident response

  • AI risk monitoring and continual improvement

  • Certification exam

FAQs

It trains professionals to identify, assess, and mitigate risks associated with artificial intelligence systems.

Risk assessment, control implementation, compliance management, and AI system evaluation.

By providing tools to align AI systems with evolving laws, policies, and industry standards.

Scenario-based testing involves both theoretical knowledge and practical risk management application.

Yes, it is internationally valued across industries adopting AI solutions.

It qualifies professionals for senior roles in AI governance, compliance, and enterprise risk management.