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 Capacity Building Across the Institution offers a structured, future-focused approach to developing AI capability at scale in higher education. As universities integrate GenAI into teaching, research, governance, and core operations, the need for coordinated, intentional capacity development has never been greater. This course moves far beyond isolated workshops or tool-based introductions, guiding institutions toward a coherent strategy for building AI fluency, confidence, and leadership across every role and department. Across the modules, you will learn how to map emerging AI responsibilities, conduct evidence-based skills audits, and develop role-specific capability profiles for academic, professional, and leadership staff. You will explore how to adapt and apply GenAI competency frameworks to different institutional contexts, and how to align these with organisational goals, regulatory expectations, and evolving workforce needs. You will also examine scalable models of AI professional development, including tiered pathways, bespoke training routes, and integrated curriculum approaches that embed learning into everyday practice. Practical sections focus on creating the institutional conditions that support sustainable growth: designing communities of practice, building AI learning repositories, establishing partnerships with vendors and sector bodies, securing funded projects, and mapping internal assets to strategic priorities. You will also explore processes for monitoring progress, incentivising engagement, and recognising achievement — including certification pathways, appraisal mechanisms, and leadership-aligned retention strategies. Particular attention is given to ensuring equitable development, preventing uneven adoption, and supporting staff through rapid technological change. By the end of this course, you will be able to design and implement a whole-institution strategy for GenAI capacity building — one that is systematic, scalable, and aligned with institutional KPIs. You will be equipped to support staff at all levels, strengthen organisational resilience, and ensure your university can adapt confidently to emerging AI tools, sector trends, and long-term innovation cycles.
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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10.1 Mapping Capacity Needs and Roles
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10.1.1 Identifying AI Roles Across Institutional Functions
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10.1.2 Skills Audits and Strategic Workforce Mapping
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10.1.3 Role Profiles for Academic, Support, and Leadership Staff
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10.1.4 GenAI Competency Frameworks in Higher Education
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10.1.5 Linking Capacity Building to Institutional KPIs
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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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10.1.G Prompt Library
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10.1.H Applying the AI Capability Framework
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10.2 Institutional Frameworks for Capacity Development
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10.2.1 Models of AI Professional Development in HE
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10.2.2 Designing Scalable AI Training Pathways
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10.2.3 Curriculum Integration for Staff Upskilling
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10.2.4 Embedding AI Capacity into HR Strategy
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10.2.5 Creating Communities of Practice for Strategic AI Growth
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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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10.2.G Prompt Library
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10.2.H Applying the AI Capability Framework
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10.3 Strategic Partnerships and Resource Development
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10.3.1 Working with Vendors for Scalable AI Training
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10.3.2 Leveraging Sector-Level AI Frameworks and Toolkits
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10.3.3 Building AI Learning Repositories and Open Resources
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10.3.4 Funded Projects for Institution-Wide Capacity Initiatives
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10.3.5 Mapping Internal Resources to Strategic Needs
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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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10.3.G Prompt Library
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10.3.H Applying the AI Capability Framework
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10.4 Monitoring, Incentivising, and Recognising Growth
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10.4.1 Evaluation Metrics for AI Capacity Building
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10.4.2 Incentives for Strategic Skill Development
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10.4.3 Certification and Recognition Pathways
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10.4.4 Embedding AI Development in Annual Review Processes
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10.4.5 Mapping Internal Resources to Strategic Needs
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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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10.4.G Prompt Library
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10.4.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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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