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

Building Organisational AI Readiness in Higher Education provides a complete, structured pathway for universities seeking to embed GenAI responsibly, strategically, and sustainably. Rather than focusing solely on tools, this course helps institutions build the underlying capabilities that determine long-term success: confidence, culture, governance, digital infrastructure, strategic alignment, and workforce development. Across five modules, you will explore how to evaluate institutional maturity, build robust infrastructure, upskill staff, cultivate innovation-positive culture, and create readiness roadmaps tailored to diverse academic and professional service teams. Each lesson includes practical examples, readiness tools, real-world case studies, and GenAI-optimised templates to accelerate institutional planning. Whether you are leading digital strategy, supporting transformation initiatives, or coordinating faculty readiness efforts, this course will equip you with actionable frameworks to guide your organisation through the complexities of adopting AI at scale—ethically, confidently, and with strategic coherence.

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

    3.1 Understanding Institutional AI Maturity

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      3.1.1 Defining AI Readiness in Higher Education

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      3.1.2 Assessing Current Capabilities and Gaps

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      3.1.3 Organisational Models for AI Preparedness

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      3.1.4 Benchmarking Against Sector Readiness Frameworks

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      3.1.5 Leveraging Maturity Assessments for Strategic Planning

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      3.1.6 Key Takeaways

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      3.1.A Practical Use Cases

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      3.1.B Learning Activities

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      3.1.C Prompt Templates

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      3.1.D Innovative Use Cases

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      3.1.E Reflection & Discussion

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      3.1.F Productivity Tips

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      3.1.G Prompt Library

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      3.1.H Applying the AI Capability Framework

  3. 3

    3.2 Infrastructure and Technology Foundations

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      3.2.1 Building the Technical Stack for GenAI Integration

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      3.2.2 Ensuring Data Governance and Security

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      3.2.3 Choosing Platforms and Partners for Long-Term Support

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      3.2.4 Scalability and Resilience in AI Infrastructure

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      3.2.5 Embedding Ethical Safeguards into Technology Procurement

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      3.2.6 Key Takeaways

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      3.2.A Practical Use Cases

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      3.2.B Learning Activities

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      3.2.C Prompt Templates

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      3.2.D Innovative Use Cases

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      3.2.E Reflection & Discussion

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      3.2.F Productivity Tips

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      3.2.G Prompt Library

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      3.2.H Applying the AI Capability Framework

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    3.3 Workforce Capability and Upskilling

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      3.3.1 Identifying Strategic Skills for an AI-Enabled Institution

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      3.3.2 Designing Role-Based AI Development Pathways

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      3.3.3 Cultivating Leadership Competency in GenAI Strategy

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      3.3.4 Cross-Functional Teams for AI-Driven Innovation

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      3.3.5 Evaluating the Impact of Upskilling on Readiness

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      3.3.6 Key Takeaways

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      3.3.A Practical Use Cases

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      3.3.B Learning Activities

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      3.3.C Prompt Templates

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      3.3.D Innovative Use Cases

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      3.3.E Reflection & Discussion

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      3.3.F Productivity Tips

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      3.3.G Prompt Library

    14. (Included in full purchase)

      3.3.H Applying the AI Capability Framework

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    3.4 Institutional Culture and Change Capacity

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      3.4.1 Creating an Innovation-Positive Organisational Culture

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      3.4.2 Change Readiness in Academic and Support Teams

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      3.4.3 Overcoming Resistance and Building Trust in AI

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      3.4.4 Internal Communication Strategies for AI Transition

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      3.4.5 Recognition and Reward Structures for Innovation

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      3.4.6 Key Takeaways

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      3.4.A Practical Use Cases

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      3.4.B Learning Activities

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      3.4.C Prompt Templates

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      3.4.D Innovative Use Cases

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      3.4.E Reflection & Discussion

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      3.4.F Productivity Tips

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      3.4.G Prompt Library

    14. (Included in full purchase)

      3.4.H Applying the AI Capability Framework

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    3.5 Roadmaps and Monitoring for Readiness Building

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      3.5.1 Developing an Institutional AI Readiness Roadmap

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      3.5.2 Prioritisation and Phasing of Readiness Goals

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      3.5.3 Tracking Progress with Institutional Dashboards

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      3.5.4 Feedback Loops for Adaptive Readiness Development

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      3.5.5 Reporting and Accountability to Internal Stakeholders

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      3.5.6 Key Takeaways

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      3.5.A Practical Use Cases

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      3.5.B Learning Activities

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      3.5.C Prompt Templates

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      3.5.D Innovative Use Cases

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      3.5.E Reflection & Discussion

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      3.5.F Productivity Tips

    13. (Included in full purchase)

      3.5.G Prompt Library

    14. (Included in full purchase)

      3.5.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

Unlock Your Genai Potential

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