Hands-On Learning
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Expert Guidance
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Flexible Schedule
Study at your own pace with our online platform, allowing you to balance work and learning effectively.
About the course
Generative AI opens new creative possibilities—but it also raises questions of cultural meaning, authorship, justice, and accountability. Without care, AI can distort traditions, flatten cultural diversity, reproduce stereotypes, or inadvertently misrepresent communities and heritage. This course provides a practical, ethical, and accessible introduction to using Generative AI across creative, artistic, and cultural contexts. You will explore how AI models generate images, text, and narratives; how to identify inaccuracies and harmful cultural distortions; and how to co-create responsibly while maintaining artistic direction, cultural integrity, and human agency. Using the Six-Domain AI Capability Framework (2026 Edition), you will build capability across awareness, human–AI co-creation, generative prototyping, cultural ethics, governance and stewardship, and reflective artistic practice. You will also gain practical tools, prompt libraries, scenario templates, governance logs, and reflective worksheets. This course is designed for artists, educators, cultural organisations, community creators, museums, archives, libraries, and anyone exploring creative work with AI. No technical experience is required—just curiosity and a commitment to ethical, culturally respectful innovation. Enrol now to develop a creative AI practice that is imaginative, responsible, and grounded in cultural stewardship.
Meet Your Instructor
Jonathan Wong is the founder of CloudPedagogy and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.
Curriculum
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Welcome to the Course
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How This Course Works
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Legal Disclaimer & Terms of Use
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Module Purpose
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Lesson 1 — How AI Generates Creative Content
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Lesson 2 — Detecting Creative Inaccuracies & Cultural Distortions
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Lesson 3 — Communicating Creative Ideas Responsibly
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Module Activity — Evaluate an AI Artwork Concept
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Lesson 1 — When AI Can Support Creative Work (and When It Must Not)
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Lesson 2 — A Safe Co-Agency Workflow for Creative & Cultural Work
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Lesson 3 — Authorship, Attribution & Creative Accountability
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Module Activity — Co-Create a Creative Piece
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Lesson 1 — AI-Assisted Visual Prototyping
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Lesson 2 — Drafting Creative Text & Story Materials
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Lesson 3 — Scenario & Worldbuilding Prototyping
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Module Activity — Prototype a Creative Engagement Asset
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Lesson 1 — Cultural Justice & AI
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Lesson 2 — Bias & Representation in Creative Outputs
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Lesson 3 — Anticipating Unintended Cultural Impacts
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Module Activity — Equity Audit of a Creative AI Output
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Lesson 1 — Boundaries: Where AI Must Never Decide
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Lesson 2 — Governance Tools for Creative & Cultural Workflows
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Lesson 3 — When to Escalate or Pause Creative AI Use
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Module Activity — Create a Governance Flow
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Lesson 1 — Why Reflection Matters in Creative & Cultural Practice
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Lesson 2 — Building Community-Informed Feedback Loops
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Lesson 3 — Developing a Personal AI-Enhanced Creative Growth Plan
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Module Activity — Mini-Retrospective
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WRAP-UP & NEXT STEPS
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