Hands-On Learning

Simulate real-world teaching and institutional scenarios with guided AI prompts, case studies and interactive activities.

Education-Focused Insights

Explore best practices and real examples of AI integration in pedagogy, curriculum design and student support.

Flexible, Self-Paced Learning

Work through structured, on-demand modules at your own pace, with resources tailored to your teaching and leadership goals.

About the Course

This course equips higher education leaders to guide responsible AI adoption across their institutions. You will examine the strategic implications of generative AI, craft robust governance and ethics policies, and champion faculty development and change leadership in the AI era. Through exploring institutional risk, equity and innovation planning, you’ll learn to anticipate challenges and seize opportunities. By the end, you’ll be prepared to shape and sustain a future-ready, AI-enhanced university ecosystem that drives academic excellence and institutional resilience.

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

9 Chapters · 66 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
  2. 2

    10.1 Understanding the Strategic Implications of Generative AI

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      10.1.1 The Systemic Reach of Generative AI in Higher Education

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      10.1.2 Scenario Modelling – Strategic Forecasting with Generative AI

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      10.1.3 AI and Institutional Strategy – Aligning with Digital, Equity, and Sustainability Goals

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      10.1.4 Stakeholder Mapping and Change Leadership

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      10.1.5 Global Benchmarks and Strategic Intelligence

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      10.1.6 Key Takeaways

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      10.1.A Practical Use Cases

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      10.1.B Learning Activities

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      10.1.C Prompt Templates

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      10.1.D Innovative Use Cases

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      10.1.E Reflection & Discussion

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      10.1.F Productivity Tips

  3. 3

    10.2 Developing AI Governance, Ethics Policies, and Guidelines

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      10.2.1 Building Institutional Readiness for Generative AI Governance

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      10.2.2 Inclusive Co-Creation of Generative AI Policies with Stakeholders

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      10.2.3 Crafting Role-Specific Guidance and Use Case Repositories with Generative AI

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      10.2.4 Auditing AI Use and Mitigating Institutional Risks Through AI Tools

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      10.2.5 Evaluating and Evolving AI Governance Through Continuous Institutional Learning

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      10.2.6 Key Takeaways

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      10.2.A Practical Use Cases

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      10.2.B Learning Activities

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      10.2.C Prompt Templates

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      10.2.D Innovative Use Cases

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      10.2.E Reflection & Discussion

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      10.2.F Productivity Tips

  4. 4

    10.3 Faculty Development and Change Leadership in the AI Era

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      10.3.1 Reframing CPD: From Training to Transformative Development

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      10.3.2 Interdisciplinary Fellowships and AI Sabbaticals

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      10.3.3 Building Leadership Capability Through Simulation and Coaching

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      10.3.4 Microcredentials and Learning Pathways for All Roles

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      10.3.5 Celebrating Change-Makers and Fostering Local Momentum

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      10.3.6 Key Takeaways

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      10.3.A Practical Use Cases

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      10.3.B Learning Activities

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      10.3.C Prompt Templates

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      10.3.D Innovative Use Cases

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      10.3.E Reflection & Discussion

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      10.3.F Productivity Tips

  5. 5

    10.4 Institutional Risk, Equity, and Innovation Planning

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      10.4.1 Understanding Institutional AI Risk in Higher Education

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      10.4.2 Conducting Equity Audits of AI Strategies

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      10.4.3 Participatory Design and Inclusive Governance

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      10.4.4 Innovation Planning with Risk-Responsive Structures

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      10.4.5 Monitoring AI Impact: Dashboards and Data Cultures

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      10.4.6 Key Takeaways

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      10.4.A Practical Use Cases

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      10.4.B Learning Activities

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      10.4.C Prompt Templates

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      10.4.D Innovative Use Cases

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      10.4.E Reflection & Discussion

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      10.4.F Productivity Tips

  6. 6

    10.5 Building a Future-Ready, AI-Enhanced University Ecosystem

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      10.5.1 Creating AI Testbeds – From Controlled Experimentation to Cultural Readiness

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      10.5.2 Aligning AI Integration with Mission-Led Innovation

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      10.5.3 Building Shared AI Toolkits for Teaching, Research, and Operations

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      10.5.4 Establishing an Institutional AI Observatory

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      10.5.5 Comparative Reflection Across Time and Context

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      10.5.6 Key Takeaways

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      10.5.A Practical Use Cases

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      10.5.B Learning Activities

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      10.5.C Prompt Templates

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      10.5.D Innovative Use Cases

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      10.5.E Reflection & Discussion

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      10.5.F Productivity Tips

  7. 7

    Knowledge Check

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      Knowledge Check: Quiz

  8. 8

    Final Lesson Message

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      Course Complete: Share Your Feedback

  9. 9

    Feedback

    1. (Included in full purchase)

      End of Course Survey

Unlock Your Genai Potential

Join our course today and unlock the full potential of Generative AI in your research projects. Empower yourself with the knowledge and skills to drive innovation and make a significant impact in your field.

£97.00

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