Hands-On Learning

Gain practical experience through hands-on projects and real-world applications.

Expert Guidance

Learn from industry experts with years of experience in Generative AI research.

Flexible Schedule

Study at your own pace with our online platform, allowing you to balance work and learning effectively.

About the Course

GenAI-Facilitated Strategic Risk Management in Higher Education provides a modern, AI-enabled approach to understanding and managing the complex risks facing universities today. As AI reshapes teaching, research, workforce structures, and governance, institutions must develop more agile, intelligence-driven methods for identifying vulnerabilities and preparing for disruption. This course equips leaders and professional services teams with the frameworks and tools to integrate Generative AI into risk detection, environmental scanning, scenario modelling, contingency planning, and resilience strategy. You will explore how AI supports early warning systems, dynamic risk registers, real-time dashboards, and simulations capable of stress-testing institutional plans and revealing blind spots. You will also examine the ethical, regulatory, and governance implications of AI-assisted risk work—ensuring that oversight structures, transparency measures, and accountability frameworks evolve alongside technological capability. Practical case studies and AI-supported templates help you design resilient strategies, engage stakeholders, and embed risk-aware thinking into institutional culture. By the end of the course, you will be able to leverage GenAI to strengthen strategic insight, enhance preparedness, support crisis response, and build long-term institutional resilience grounded in ethical, data-informed practice.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy, where he develops ethical, practical, and future-ready learning systems for Generative, Agentic, and emerging Quantum AI. Drawing on over 20 years of experience in higher education, research, and digital innovation, he specialises in applying AI to real-world contexts — from curriculum design and assessment reform to research acceleration and institutional strategy. His frameworks and courses help educators, researchers, and professionals build the confidence, capability, and critical insight needed to thrive across the evolving Continuum of Intelligence.

Curriculum

8 Chapters · 76 Lessons

  1. 1

    Introduction

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
    4. Download: Universal AI Practice Workbook Free preview
  2. 2

    8.1 Foundations of Strategic Risk Thinking

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      8.1.1 Understanding Institutional Risk in a GenAI Context

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      8.1.2 Identifying Strategic, Operational, and Reputational Risks

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      8.1.3 The Evolving Risk Landscape with AI Disruption

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      8.1.4 From Risk Registers to Dynamic Risk Modelling

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      8.1.5 Strategic Risk Culture in HE Leadership

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      8.1.6 Key Takeaways

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      8.1.A Practical Use Cases

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      8.1.B Learning Activities

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      8.1.C Prompt Templates

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      8.1.D Innovative Use Cases

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      8.1.E Reflection & Discussion

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      8.1.F Productivity Tips

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      8.1.G Prompt Library

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      8.1.H Applying the AI Capability Framework

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    8.2 Risk Detection and Intelligence Gathering

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      8.2.1 Using GenAI to Detect Early Warning Signals

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      8.2.2 Automated Environmental Scanning for Risk Hotspots

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      8.2.3 Mapping External Threats to Institutional Priorities

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      8.2.4 Identifying Internal Vulnerabilities via AI Analytics

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      8.2.5 Risk Intelligence Dashboards for Strategic Units

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      8.2.6 Key Takeaways

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      8.2.A Practical Use Cases

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      8.2.B Learning Activities

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      8.2.C Prompt Templates

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      8.2.D Innovative Use Cases

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      8.2.E Reflection & Discussion

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      8.2.F Productivity Tips

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      8.2.G Prompt Library

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      8.2.H Applying the AI Capability Framework

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    8.3 Mitigation and Response Planning

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      8.3.1 Designing AI-Informed Contingency Plans

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      8.3.2 Evaluating Institutional Resilience Scenarios

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      8.3.3 AI-Augmented Decision Support in Crisis Response

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      8.3.4 Embedding AI into Business Continuity Plans

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      8.3.5 Adaptive Learning from Risk Events Using AI Tools

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      8.3.6 Key Takeaways

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      8.3.A Practical Use Cases

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      8.3.B Learning Activities

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      8.3.C Prompt Templates

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      8.3.D Innovative Use Cases

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      8.3.E Reflection & Discussion

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      8.3.F Productivity Tips

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      8.3.G Prompt Library

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      8.3.H Applying the AI Capability Framework

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    8.4 Ethics, Regulation, and Strategic Oversight

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      8.4.1 Strategic Risks of AI Misuse and Misalignment

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      8.4.2 Regulatory and Legal Risk Management in AI Strategy

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      8.4.3 Oversight Frameworks for AI-Integrated Risk Planning

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      8.4.4 Transparency, Accountability, and Risk Governance

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      8.4.5 Balancing Innovation and Risk Appetite in Strategy

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      8.4.6 Key Takeaways

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      8.4.A Practical Use Cases

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      8.4.B Learning Activities

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      8.4.C Prompt Templates

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      8.4.D Innovative Use Cases

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      8.4.E Reflection & Discussion

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      8.4.F Productivity Tips

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      8.4.G Prompt Library

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      8.4.H Applying the AI Capability Framework

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    8.5 Communicating and Embedding Risk Strategy

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      8.5.1 Creating Risk-Aware Cultures with AI Literacy

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      8.5.2 Visualising Risk for Leadership and Boards

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      8.5.3 Stakeholder-Sensitive Risk Messaging

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      8.5.4 Scenario Testing and Simulation Exercises

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      8.5.5 Long-Term Strategic Risk Monitoring and Reporting

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      8.5.6 Key Takeaways

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      8.5.A Practical Use Cases

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      8.5.B Learning Activities

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      8.5.C Prompt Templates

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      8.5.D Innovative Use Cases

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      8.5.E Reflection & Discussion

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      8.5.F Productivity Tips

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      8.5.G Prompt Library

    14. (Included in full purchase)

      8.5.H Applying the AI Capability Framework

  7. 7

    Final Lesson Message

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      Course Complete: Share Your Feedback

  8. 8

    Feedback

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      End of Course Survey

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