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

I'm Jonathan Wong, Founder of CloudPedagogy, Lead AI Educator, and research and innovation strategist with over 20 years in higher education and research, specialising in data science, AI, and advanced cloud technologies. My work focuses on applying generative AI to enhance teaching, research, and institutional operations, build intelligent AI systems, and advance ethical AI governance. In this course, I share practical frameworks, hands-on tools, and sector-specific examples developed through applied work in higher education and research. Whether you're starting your AI journey or aiming to deepen your expertise, you'll gain the skills and strategies to apply AI effectively, creatively, and responsibly in your professional context.

Curriculum

8 Chapters · 75 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

    1.1 Rethinking Learning Outcomes in the Age of AI

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      1.1.1 From Bloom’s Taxonomy to AI-Aware Frameworks

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      1.1.2 Embedding Future Skills and Digital Literacies

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      1.1.3 Using GenAI to Audit Learning Outcome Coverage

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      1.1.4 Aligning AI-Created Content with Programme Goals

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      1.1.5 Co-creating Outcomes with Students and GenAI

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      1.1.6 Key Takeaways

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      1.1.A Practical Use Cases

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      1.1.B Learning Activities

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      1.1.C Prompt Templates

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      1.1.D Innovative Use Cases

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      1.1.E Reflection & Discussion

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      1.1.F Productivity Tips

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      1.1.G Prompt Library

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      1.1.H Applying the GenAI Framework

  3. 3

    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 GenAI Framework

  4. 4

    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 GenAI Framework

  5. 5

    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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      1.4.F Productivity Tips

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      1.4.G Prompt Library

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      1.4.H Applying the Framework in Practice

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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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      1.5.E Reflection & Discussion

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      1.5.F Productivity Tips

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      1.5.G Prompt Library

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      1.5.H Applying the GenAI 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

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.

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