Hands-On Learning
Simulate real-world teaching and institutional scenarios with guided AI prompts, case studies and interactive activities.
Education-Focused Insights
Explore best practices and real examples of AI integration in pedagogy, curriculum design and student support.
Flexible, Self-Paced Learning
Work through structured, on-demand modules at your own pace, with resources tailored to your teaching and leadership goals.
About the Course
This course equips higher education leaders to guide responsible AI adoption across their institutions. You will examine the strategic implications of generative AI, craft robust governance and ethics policies, and champion faculty development and change leadership in the AI era. Through exploring institutional risk, equity and innovation planning, you’ll learn to anticipate challenges and seize opportunities. By the end, you’ll be prepared to shape and sustain a future-ready, AI-enhanced university ecosystem that drives academic excellence and institutional resilience.
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
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Welcome to the Course Free preview
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How This Course Works Free preview
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Legal Disclaimer & Terms of Use Free preview
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10.1.1 The Systemic Reach of Generative AI in Higher Education Free preview
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10.1.2 Scenario Modelling – Strategic Forecasting with Generative AI Free preview
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10.1.3 AI and Institutional Strategy – Aligning with Digital, Equity, and Sustainability Goals Free preview
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10.1.4 Stakeholder Mapping and Change Leadership
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10.1.5 Global Benchmarks and Strategic Intelligence
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10.1.6 Key Takeaways
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10.1.A Practical Use Cases
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10.1.B Learning Activities
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10.1.C Prompt Templates
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10.1.D Innovative Use Cases
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10.1.E Reflection & Discussion
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10.1.F Productivity Tips
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10.2.1 Building Institutional Readiness for Generative AI Governance
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10.2.2 Inclusive Co-Creation of Generative AI Policies with Stakeholders
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10.2.3 Crafting Role-Specific Guidance and Use Case Repositories with Generative AI
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10.2.4 Auditing AI Use and Mitigating Institutional Risks Through AI Tools
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10.2.5 Evaluating and Evolving AI Governance Through Continuous Institutional Learning
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10.2.6 Key Takeaways
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10.2.A Practical Use Cases
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10.2.B Learning Activities
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10.2.C Prompt Templates
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10.2.D Innovative Use Cases
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10.2.E Reflection & Discussion
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10.2.F Productivity Tips
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10.3.1 Reframing CPD: From Training to Transformative Development
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10.3.2 Interdisciplinary Fellowships and AI Sabbaticals
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10.3.3 Building Leadership Capability Through Simulation and Coaching
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10.3.4 Microcredentials and Learning Pathways for All Roles
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10.3.5 Celebrating Change-Makers and Fostering Local Momentum
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10.3.6 Key Takeaways
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10.3.A Practical Use Cases
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10.3.B Learning Activities
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10.3.C Prompt Templates
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10.3.D Innovative Use Cases
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10.3.E Reflection & Discussion
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10.3.F Productivity Tips
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10.4.1 Understanding Institutional AI Risk in Higher Education
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10.4.2 Conducting Equity Audits of AI Strategies
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10.4.3 Participatory Design and Inclusive Governance
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10.4.4 Innovation Planning with Risk-Responsive Structures
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10.4.5 Monitoring AI Impact: Dashboards and Data Cultures
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10.4.6 Key Takeaways
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10.4.A Practical Use Cases
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10.4.B Learning Activities
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10.4.C Prompt Templates
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10.4.D Innovative Use Cases
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10.4.E Reflection & Discussion
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10.4.F Productivity Tips
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10.5.1 Creating AI Testbeds – From Controlled Experimentation to Cultural Readiness
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10.5.2 Aligning AI Integration with Mission-Led Innovation
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10.5.3 Building Shared AI Toolkits for Teaching, Research, and Operations
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10.5.4 Establishing an Institutional AI Observatory
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10.5.5 Comparative Reflection Across Time and Context
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10.5.6 Key Takeaways
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10.5.A Practical Use Cases
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10.5.B Learning Activities
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10.5.C Prompt Templates
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10.5.D Innovative Use Cases
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10.5.E Reflection & Discussion
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10.5.F Productivity Tips
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Knowledge Check: Quiz
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Course Complete: Share Your 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.
£49.00