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
Generative AI is reshaping the way we design, align, and communicate learning across higher education. This course guides academic developers, programme leads, and educators in using generative AI to build coherent, inclusive, and future-oriented curricula.
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
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1
Introduction
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1.1 Rethinking Learning Outcomes in the Age of AI
- 1.1.1 From Bloom’s Taxonomy to AI-Aware Frameworks Free preview
- 1.1.2 Embedding Future Skills and Digital Literacies Free preview
- 1.1.3 Using GenAI to Audit Learning Outcome Coverage Free preview
- 1.1.4 Aligning AI-Created Content with Programme Goals Free preview
- 1.1.5 Co-creating Outcomes with Students and GenAI Free preview
- 1.1.6 Key Takeaways Free preview
- 1.1.A Practical Use Cases Free preview
- 1.1.B Learning Activities Free preview
- 1.1.C Prompt Templates Free preview
- 1.1.D Innovative Use Cases Free preview
- 1.1.E Reflection & Discussion Free preview
- 1.1.F Productivity Tips Free preview
- 1.1.G Prompt Library Free preview
- 1.1.H Applying the AI Capability Framework Free preview
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1.2 Mapping Curriculum Coherence and Progression
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1.2.1 Programme Mapping Tools Enhanced by GenAI
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1.2.2 Visualising Inter-Module Connections Using AI
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1.2.3 AI for Backward Design and Assessment Planning
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1.2.4 Ensuring Progression and Scaffolding with AI Insights
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1.2.5 Using GenAI to Detect Redundancy and Gaps
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1.2.6 Key Takeaways
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1.2.A Practical Use Cases
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1.2.B Learning Activities
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1.2.C Prompt Templates
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1.2.D Innovative Use Cases
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1.2.E Reflection & Discussion
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1.2.F Productivity Tips
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1.2.G Prompt Library
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1.2.H Applying the AI Capability Framework
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1.3 Integrating Graduate Attributes and Institutional Priorities
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1.3.1 Mapping GenAI-Enhanced Curriculum to Graduate Profiles
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1.3.2 Embedding Sustainability and Global Citizenship
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1.3.3 AI Support for Inclusive Graduate Attribute Development
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1.3.4 Aligning Programme Outcomes with Institutional Vision
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1.3.5 Using GenAI to Co-Design Student-Centred Attributes
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1.3.6 Key Takeaways
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1.3.A Practical Use Cases
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1.3.B Learning Activities
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1.3.C Prompt Templates
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1.3.D Innovative Use Cases
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1.3.E Reflection & Discussion
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1.3.F Productivity Tips
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1.3.G Prompt Library
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1.3.H Applying the AI Capability Framework
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1.4 Academic Governance and Collaborative Curriculum Development
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1.4.1 Using GenAI to Support Programme Approval Workflows
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1.4.2 Facilitating Academic Boards and Curriculum Committees
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1.4.3 GenAI-Supported Stakeholder Collaboration in Curriculum Design
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1.4.4 Capturing and Synthesising Consultation Feedback Using AI
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1.4.5 Transparent Version Control and Curriculum Change Logs with AI
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1.4.6 Key Takeaways
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1.4.A Practical Use Cases
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1.4.B Learning Activities
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1.4.C Prompt Templates
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1.4.D Innovative Use Cases
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1.4.E Reflection & Discussion
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(Included in full purchase)
1.4.F Productivity Tips
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1.4.G Prompt Library
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1.4.H Applying the AI Capability Framework
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1.5 Scenario-Based Curriculum Redesign and Future-Proofing
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1.5.1 Using GenAI to Simulate Curriculum Change Scenarios
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1.5.2 Planning for Interruption, Resilience, and Recovery with AI
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1.5.3 Building Agile Curriculum Design Cycles with GenAI
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1.5.4 Benchmarking Against Sector Innovations Using AI
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1.5.5 Designing for Emergent Educational Futures
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1.5.6 Key Takeaways
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1.5.A Practical Use Cases
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1.5.B Learning Activities
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1.5.C Prompt Templates
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1.5.D Innovative Use Cases
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(Included in full purchase)
1.5.E Reflection & Discussion
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(Included in full purchase)
1.5.F Productivity Tips
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1.5.G Prompt Library
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(Included in full purchase)
1.5.H Applying the AI Capability Framework
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Final Lesson Message
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Course Complete: Share Your Feedback
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8
Feedback
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End of Course Survey
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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