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Cybersecurity Specialization: Artificial Intelligence Risk Management Framework

Learn to navigate global AI risk and regulatory frameworks with confidence and clarity.

As artificial intelligence becomes increasingly embedded in critical systems, managing its risks is no longer optional—it’s essential. This two-day, hands-on course is designed to equip AI practitioners, cybersecurity professionals, risk managers, and compliance leaders with the tools and frameworks needed to navigate the complex landscape of AI risk. Participants will explore the structure and application of the NIST AI Risk Management Framework (AI RMF), compare it with global standards such as the EU AI Act and Saudi Arabia’s NCA AI & Data Governance Framework, and learn how to apply these principles to real-world scenarios.

Through a blend of expert-led instruction, interactive activities, and case-based exercises, learners will gain practical experience in identifying, assessing, and mitigating AI risks such as bias, explainability, and data privacy. The course emphasizes ethical governance and regulatory compliance, guiding participants in designing unified risk strategies that align with international standards. Whether you're building AI systems or overseeing their deployment, this course offers a comprehensive foundation for responsible and secure AI implementation.

Delivery Format

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

5 courses found

    • Delivery Format: Virtual Learning
    • Date 09-10 April, 2026 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English
    • Guaranteed  To Run

    £1,595.00

    • Delivery Format: Virtual Learning
    • Date 11-12 May, 2026 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £1,595.00

    • Delivery Format: Virtual Learning
    • Date 06-07 August, 2026 | 9:00 AM to 5:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £1,595.00

    • Delivery Format: Virtual Learning
    • Date 07-08 September, 2026 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £1,595.00

    • Delivery Format: Virtual Learning
    • Date 01-02 October, 2026 | 8:00 AM to 4:00 PM
    • Location: Virtual (GMT Standa)
    • Language: English

    £1,595.00

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