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
Strategic GenAI Policy Development and Institutional Governance provides higher-education leaders, policy developers, and governance teams with a comprehensive pathway for designing responsible, institution-wide frameworks for AI use. As GenAI rapidly reshapes teaching, research, administration, student support, and strategic planning, universities must establish clear, future-proof policies that protect integrity while enabling innovation. This course explores the full spectrum of AI governance: identifying institutional policy gaps, designing role-specific guidelines, developing ethical frameworks, establishing oversight structures, and creating governance processes aligned with national and global regulations. You will learn how to build policies that cover transparency, disclosure, data ethics, intellectual property, safe experimentation, and responsible use across academic and professional domains. You will also examine governance models—from centralised boards to distributed ownership—alongside escalation routes, auditing mechanisms, and decision-making structures that ensure accountability. Practical modules cover policy rollout planning, staff engagement, communication strategies, compliance monitoring, and continuous review cycles that keep policies relevant in fast-moving regulatory environments. By the end of the course, you will be equipped with robust frameworks, AI-supported drafting tools, implementation templates, and a global perspective that enables your institution to lead responsibly and confidently in the GenAI era.
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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9.1 Institutional Policy Landscapes for AI
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9.1.1 Reviewing AI Policy Gaps in HE Institutions
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9.1.2 Frameworks for Building AI Governance Policies
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9.1.3 Principles of Responsible Innovation in AI
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9.1.4 Linking AI Policies to Broader Institutional Strategy
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9.1.5 Stakeholder Consultation in AI Policy Development
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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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9.1.H Applying the AI Capability Framework
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9.2 Designing Strategic AI Policies
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9.2.1 Developing Role-Based AI Use Guidelines
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9.2.2 Policies for GenAI Use in Teaching and Research
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9.2.3 Data Ethics, Privacy, and Intellectual Property Policies
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9.2.4 Use-of-AI Transparency and Disclosure Policies
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9.2.5 Embedding Continuous Review and Revision Mechanisms
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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 Governance Models and Decision Structures
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9.3.1 Designing AI Oversight Committees and Working Groups
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9.3.2 Role of Academic Boards in AI Governance
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9.3.3 Centralised vs Distributed Governance Approaches
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9.3.4 Cross-Functional Leadership and Strategic Ownership
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9.3.5 Policy Escalation, Conflict Resolution, and Auditing
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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
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9.3.G Prompt Library
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9.3.H Applying the AI Capability Framework
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9.4 Implementation, Evaluation, and Communication
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9.4.1 AI Policy Rollout Plans and Institutional Readiness
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9.4.2 Staff Training and Role-Based Policy Engagement
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9.4.3 Evaluating Policy Impact through Strategic Indicators
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9.4.4 Communication Campaigns for Policy Awareness
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9.4.5 Monitoring Compliance and Continuous Improvement
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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
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9.4.C Prompt Templates
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9.4.D Innovative Use Cases
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9.4.E Reflection & Discussion
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9.4.F Productivity Tips
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9.4.G Prompt Library
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9.4.H Applying the AI Capability Framework
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9.5 Global Perspectives and Strategic Alignment
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9.5.1 Mapping Global HE Policy Trends on GenAI
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9.5.2 Aligning Institutional Policy with National Frameworks
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9.5.3 Responding to External Regulatory Developments
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9.5.4 Policy Leadership in International HE Collaborations
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9.5.5 Benchmarking and Sharing Policy Innovations Across Institutions
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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
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9.5.D Innovative Use Cases
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9.5.E Reflection & Discussion
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9.5.F Productivity Tips
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9.5.G Prompt Library
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9.5.H Applying the AI Capability Framework
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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