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 introduces practical methods for rapid curriculum prototyping using generative AI. You’ll learn how to ideate, script, and build interactive curriculum models, test them in authentic contexts, and gather feedback to support iteration and scaling. Ideal for educators, instructional designers, and programme leads seeking agile, AI-assisted design workflows.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy, where he develops practical, responsible and future-focused approaches to digital learning and emerging technology. Drawing on over 20 years of experience in higher education, research and digital innovation, his work explores how technology can support learning, analysis and knowledge creation. His work spans generative and agentic AI, digital learning design, interactive learning systems, educational technology and open-source development. A particular focus is translating emerging technologies into practical tools, workflows and learning experiences while maintaining transparency, critical judgement and human oversight. Through CloudPedagogy, Jonathan develops courses, frameworks, demonstrations and open-source projects designed to help learners and professionals understand complex ideas, experiment with new technologies and apply them in meaningful real-world contexts.

Curriculum

8 Chapters · 72 Lessons

    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

    1. 9.1.1 What Is Curriculum Prototyping? Principles and Process Free preview
    2. 9.1.2 Benefits of Rapid Development in Higher Education Contexts Free preview
    3. 9.1.3 Understanding Minimum Viable Curriculum Concepts Free preview
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      9.1.4 Prototyping for Stakeholder Testing and Iteration

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      9.1.5 AI as an Accelerator in the Design-Build-Test Cycle

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      9.1.6 Key Takeaways

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      9.1.A Practical Use Cases

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      9.1.B Learning Activities

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      9.1.C Prompt Templates

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      9.1.D Innovative Use Cases

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      9.1.E Reflection & Discussion

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      9.1.F Productivity Tips

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      9.1.G Prompt Library

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      9.2.1 Prompting GenAI for Conceptual and Thematic Development

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      9.2.2 Using AI to Draft Learning Outcomes and Module Summaries

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      9.2.3 Storyboarding a Programme with Generative Visual Tools

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      9.2.4 Repurposing Existing Curriculum Assets with GenAI Support

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      9.2.5 Customising Prototypes for Different Disciplines and Levels

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      9.2.6 Key Takeaways

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      9.2.A Practical Use Cases

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      9.2.B Learning Activities

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      9.2.C Prompt Templates

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      9.2.D Innovative Use Cases

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      9.2.E Reflection & Discussion

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      9.2.F Productivity Tips

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      9.2.G Prompt Library

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      9.2.H Applying the AI Capability Framework

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      9.3.1 Creating AI-Generated Sample Syllabi and Timetables

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      9.3.2 Developing Clickable Curriculum Maps with GenAI Tools

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      9.3.3 Using AI to Simulate Learner Navigation and Engagement

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      9.3.4 Incorporating AI-Powered Formative Content and Assessments

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      9.3.5 Piloting Prototype Modules with Student and Staff Feedback

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      9.3.6 Key Takeaways

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      9.3.A Practical Use Cases

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      9.3.B Learning Activities

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      9.3.C Prompt Templates

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      9.3.D Innovative Use Cases

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      9.3.E Reflection & Discussion

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      9.3.F Productivity Tips

    13. (Included in full purchase)

      9.3.G Prompt Library

    1. (Included in full purchase)

      9.4.1 Using GenAI to Facilitate Rapid Peer Review and Commentary

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      9.4.2 Structuring Design Sprints Around Iterative Curriculum Trials

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      9.4.3 Synthesising Stakeholder Feedback with GenAI Tools

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      9.4.4 Making Evidence-Informed Adjustments to Prototypes

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      9.4.5 Building a Transparent Log of Curriculum Design Decisions

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      9.4.6 Key Takeaways

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      9.4.A Practical Use Cases

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      9.4.B Learning Activities

    9. (Included in full purchase)

      9.4.C Prompt Templates

    10. (Included in full purchase)

      9.4.D Innovative Use Cases

    11. (Included in full purchase)

      9.4.E Reflection & Discussion

    12. (Included in full purchase)

      9.4.F Productivity Tips

    13. (Included in full purchase)

      9.4.G Prompt Library

    1. (Included in full purchase)

      9.5.1 Evaluating Prototype Success Against Strategic Priorities

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      9.5.2 Managing Risks in Scaling AI-Generated Design Workflows

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      9.5.3 AI for Costing, Staffing, and Resource Planning

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      9.5.4 Communicating Prototypes to Senior Leaders and Funders

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      9.5.5 Institutionalising Prototyping as a Core Design Practice

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      9.5.6 Key Takeaways

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      9.5.A Practical Use Cases

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      9.5.B Learning Activities

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      9.5.C Prompt Templates

    10. (Included in full purchase)

      9.5.D Innovative Use Cases

    11. (Included in full purchase)

      9.5.E Reflection & Discussion

    12. (Included in full purchase)

      9.5.F Productivity Tips

    13. (Included in full purchase)

      9.5.G Prompt Library

    1. (Included in full purchase)

      Course Complete: Share Your 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.

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