
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 design thinking can reshape programme-level innovation in higher education when combined with the power of generative AI. You’ll learn to foster creativity, leverage data for reconfiguration, align programmes with institutional priorities, and co-design with stakeholders. Through real-world use cases and interactive exercises, you’ll build the skills needed to lead meaningful, AI-supported curriculum transformation.

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
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1
Introduction
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2
3.1 Foundations of Design Thinking in Higher Education
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3.1.1 What is Design Thinking? Relevance in Curriculum Development
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3.1.2 Mapping GenAI onto the Design Thinking Process
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3.1.3 Understanding User Needs: Empathy Mapping with AI
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3.1.4 Ideation and Divergent Thinking Supported by GenAI
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3.1.5 Rapid Prototyping for Programme Design Using AI Tools
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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 GenAI Framework
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3
3.2 Applying Design Thinking to Programme Innovation
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(Included in full purchase)
3.2.1 Identifying Institutional Challenges for AI-Supported Redesign
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3.2.2 Engaging Teams in Design Sprints with AI Support
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3.2.3 Co-Designing Modules with Students and Staff Using GenAI
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3.2.4 Testing and Iterating Programme Components with AI Feedback
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3.2.5 Case Studies of AI-Augmented Programme Redesign
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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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(Included in full purchase)
3.2.D Innovative Use Cases
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(Included in full purchase)
3.2.E Reflection & Discussion
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(Included in full purchase)
3.2.F Productivity Tips
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3.2.G Prompt Library
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(Included in full purchase)
3.2.H Applying the GenAI Framework
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4
3.3 Data-Driven Insights for Programme Reconfiguration
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3.3.1 Using GenAI to Analyse Curriculum Performance Trends
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3.3.2 Predictive Modelling of Student Success Using AI
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3.3.3 Analysing Completion Rates, Feedback, and Module Flow
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3.3.4 AI-Supported Identification of Underserved Learner Needs
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3.3.5 Translating Data into Design Priorities with GenAI
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3.3.6 Key Takeaways
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3.3.A Practical Use Cases
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(Included in full purchase)
3.3.B Learning Activities
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3.3.C Prompt Templates
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(Included in full purchase)
3.3.D Innovative Use Cases
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(Included in full purchase)
3.3.E Reflection & Discussion
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(Included in full purchase)
3.3.F Productivity Tips
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(Included in full purchase)
3.3.G Prompt Library
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3.3.H Applying the GenAI Framework
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5
3.4 Strategic Alignment and Stakeholder Co-Design
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3.4.1 Mapping AI-Supported Design Outcomes to Institutional Strategy
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3.4.2 Collaborating with Faculty Leaders Using Shared AI Workspaces
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3.4.3 Aligning AI-Aided Curriculum with Sector Benchmarks
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3.4.4 Managing Multi-Stakeholder Feedback Using GenAI
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3.4.5 Communicating Programme Value Through AI-Generated Insights
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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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(Included in full purchase)
3.4.F Productivity Tips
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3.4.G Prompt Library
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3.4.H Applying the Framework in Practice
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6
3.5 Building a Culture of Innovation in Programme Teams
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3.5.1 Developing AI Fluency in Curriculum Design Teams
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3.5.2 Facilitating Change Leadership Through GenAI
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3.5.3 Encouraging Risk-Taking and Experimentation with AI Tools
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3.5.4 Embedding Design Thinking as a Continuous Practice
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3.5.5 Reflecting on Organisational Learning Using AI Dashboards
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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
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3.5.G Prompt Library
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3.5.H Applying the GenAI Framework
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7
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