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

This course explores how generative AI can serve as a true partner in human-centred curriculum design. You’ll learn to integrate AI into collaborative design processes, support interdisciplinary and stakeholder-led innovation, and evaluate the impact of human–AI co-creation. With real-world examples, ethical reflections, and hands-on exercises, this course empowers educators, instructional designers, and academic leaders to build more inclusive, agile, and future-aligned curricula — in partnership with AI.

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

    2.1 Framing AI as a Collaborative Curriculum Tool

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      2.1.1 Principles of Human-AI Partnership in HE

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      2.1.2 Mapping Design Roles: What AI Can and Can’t Do

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      2.1.3 Positioning GenAI as a Pedagogical Ally

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      2.1.4 Avoiding Over-Reliance and Preserving Educator Agency

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      2.1.5 Ethical Framing of Human–AI Collaboration

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      2.1.6 Key Takeaways

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      2.1.A Practical Use Cases

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      2.1.B Learning Activities

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      2.1.C Prompt Templates

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      2.1.D Innovative Use Cases

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      2.1.E Reflection & Discussion

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      2.1.F Productivity Tips

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      2.1.G Prompt Library

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      2.1.H Applying the GenAI Framework

  3. 3

    2.2 AI in Interdisciplinary Programme Design

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      2.2.1 Identifying Thematic Synergies Using GenAI

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      2.2.2 Supporting Interfaculty Dialogue with AI Summarisation

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      2.2.3 Creating Shared Rubrics and Terminologies

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      2.2.4 Designing Cross-Disciplinary Pathways with GenAI Tools

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      2.2.5 Case Study: Co-Creation Across Faculties Using AI

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      2.2.6 Key Takeaways

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      2.2.A Practical Use Cases

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      2.2.B Learning Activities

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      2.2.C Prompt Templates

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      2.2.D Innovative Use Cases

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      2.2.E Reflection & Discussion

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      2.2.F Productivity Tips

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      2.2.G Prompt Library

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      2.2.H Applying the GenAI Framework

  4. 4

    2.3 Facilitating Workshops and Design Sprints with GenAI

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      2.3.1 AI-Powered Agendas and Brainstorming Prompts

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      2.3.2 Synthesising Live Input During Curriculum Sprint Events

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      2.3.3 Visualising Ideas and Themes in Real Time with GenAI

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      2.3.4 Using AI to Document Collaborative Design Decisions

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      2.3.5 Enhancing Workshop Follow-Up and Iteration Cycles

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      2.3.6 Key Takeaways

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      2.3.A Practical Use Cases

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      2.3.B Learning Activities

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      2.3.C Prompt Templates

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      2.3.D Innovative Use Cases

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      2.3.E Reflection & Discussion

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      2.3.F Productivity Tips

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      2.3.G Prompt Library

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      2.3.H Applying the GenAI Framework

  5. 5

    2.4 Co-Creating with Students and External Stakeholders

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      2.4.1 GenAI as a Bridge Between Institutional and Student Perspectives

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      2.4.2 Capturing Student Feedback and Turning It Into Design Insight

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      2.4.3 Supporting External Consultation (Industry, Employers) with AI

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      2.4.4 AI-Generated Prototypes for Stakeholder Review

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      2.4.5 GenAI for Managing Stakeholder-Centric Versioning

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      2.4.6 Key Takeaways

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      2.4.A Practical Use Cases

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      2.4.B Learning Activities

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      2.4.C Prompt Templates

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      2.4.D Innovative Use Cases

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      2.4.E Reflection & Discussion

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      2.4.F Productivity Tips

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      2.4.G Prompt Library

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      2.4.H Applying the Framework in Practice

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    2.5 Evaluating the Impact of Human-AI Co-Creation

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      2.5.1 Indicators of Success in Co-Designed Curricula

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      2.5.2 Collecting Evidence of Value and Engagement with AI Tools

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      2.5.3 Mapping Stakeholder Satisfaction Over Time

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      2.5.4 Embedding Long-Term Reflection on Human–AI Curriculum Cycles

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      2.5.5 Preparing Reports and Case Studies with GenAI Support

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      2.5.6 Key Takeaways

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      2.5.A Practical Use Cases

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      2.5.B Learning Activities

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      2.5.C Prompt Templates

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      2.5.D Innovative Use Cases

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      2.5.E Reflection & Discussion

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      2.5.F Productivity Tips

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      2.5.G Prompt Library

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      2.5.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

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