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
Institutional Innovation Ecosystems and GenAI provides a comprehensive roadmap for designing, scaling, and sustaining innovation across higher education. Rather than treating innovation as isolated pilots or siloed projects, this course helps institutions build whole-system frameworks that integrate GenAI into strategy, governance, culture, and daily practice. You will explore innovation typologies, design cross-campus ecosystems, develop AI-powered toolkits, and understand how to measure and govern innovation responsibly. Each module combines practical methodologies—design thinking, agile sprints, feedback loops—with AI-enhanced techniques that accelerate ideation, prototyping, strategic alignment, and evidence gathering. Whether you work in digital education, learning design, academic leadership, research innovation, or organisational development, this course equips you with actionable models, templates, and GenAI-optimised workflows to activate innovation at scale. By the end, you will be able to cultivate an innovation-positive culture, support staff and students, align experimentation with institutional goals, and build an ecosystem capable of continuous, ethical, future-ready transformation.
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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2
4.1 Framing Innovation in the GenAI Context
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4.1.1 Innovation Typologies in Higher Education
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4.1.2 Understanding Disruptive and Sustaining Innovations
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4.1.3 Positioning GenAI as a Strategic Innovation Driver
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4.1.4 Mapping Innovation Ecosystems Across Campus Units
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4.1.5 The Role of Leadership in Innovation Activation
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4.1.6 Key Takeaways
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4.1.A Practical Use Cases
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4.1.B Learning Activities
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4.1.C Prompt Templates
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4.1.D Innovative Use Cases
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4.1.E Reflection & Discussion
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4.1.F Productivity Tips
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4.1.G Prompt Library
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4.1.H Applying the AI Capability Framework
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4.2 Designing Innovation Frameworks and Models
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4.2.1 Models of Institutional Innovation with AI
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4.2.2 AI Innovation Labs and Living Labs in Universities
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4.2.3 From Pilot to Scale: Structuring Innovation Pipelines
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4.2.4 Cross-Institutional Collaboration for Shared Innovation
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4.2.5 Managing Complexity and Experimentation
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4.2.6 Key Takeaways
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4.2.A Practical Use Cases
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4.2.B Learning Activities
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4.2.C Prompt Templates
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4.2.D Innovative Use Cases
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4.2.E Reflection & Discussion
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4.2.F Productivity Tips
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4.2.G Prompt Library
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4.2.H Applying the AI Capability Framework
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4.3 Innovation Methods and Toolkits
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4.3.1 Using GenAI in Design Thinking for Strategy
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4.3.2 AI-Enhanced Ideation and Prototyping Methods
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4.3.3 Embedding Rapid Feedback and Agile Development
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4.3.4 Facilitating Strategic Innovation Sprints with AI
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4.3.5 Using AI to Support Evidence-Based Innovation
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4.3.6 Key Takeaways
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4.3.A Practical Use Cases
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4.3.B Learning Activities
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4.3.C Prompt Templates
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4.3.D Innovative Use Cases
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4.3.E Reflection & Discussion
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4.3.F Productivity Tips
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4.3.G Prompt Library
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4.3.H Applying the AI Capability Framework
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4.4 Governance, Risk, and Strategic Alignment
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4.4.1 Embedding Innovation into Strategic Frameworks
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4.4.2 Balancing Innovation with Institutional Risk
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4.4.3 Measuring Innovation Impact Across Programmes
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4.4.4 Resource Allocation and Innovation ROI
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4.4.5 Policy Infrastructure for Ethical Innovation
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4.4.6 Key Takeaways
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4.4.A Practical Use Cases
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4.4.B Learning Activities
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4.4.C Prompt Templates
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4.4.D Innovative Use Cases
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4.4.E Reflection & Discussion
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4.4.F Productivity Tips
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4.4.G Prompt Library
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4.4.H Applying the AI Capability Framework
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4.5 Culture, Capacity, and Engagement
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4.5.1 Developing a Campus-Wide Culture of Innovation
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4.5.2 Incentivising and Recognising Innovative Practice
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4.5.3 Supporting Staff and Student Involvement in AI Innovation
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4.5.4 Managing Innovation Fatigue and Risk Aversion
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4.5.5 Building Inclusive Innovation Ecosystems
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4.5.6 Key Takeaways
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4.5.A Practical Use Cases
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4.5.B Learning Activities
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4.5.C Prompt Templates
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4.5.D Innovative Use Cases
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4.5.E Reflection & Discussion
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4.5.F Productivity Tips
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4.5.G Prompt Library
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4.5.H Applying the AI Capability 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