Generative AI for Creativity Short Course
Course description
Key information
- How generative AI tools and large language models work
- Techniques for generating and refining AI outputs
- Methods for exploring ideas and developing creative concepts
- Ways to check accuracy and relevance in AI-generated material
- Demonstrations and exercises from design and creative contexts
- Discussion of originality, authorship, copyright and responsible use
- A guided project developed step by step across the course
- Explain the basic principles of how large language models and generative AI tools work
- Use structured techniques to produce reliable and well-formed AI outputs
- Apply generative AI tools to explore ideas, refine concepts and support creative tasks
- Review and check AI-generated content for accuracy, relevance and suitability
- Work with generative AI responsibly and recognise basic authorship and originality concerns
- Work on a multi-week project that applies AI techniques within chosen creative area
- Digital badge and certificate of attendance
- Laptop or tablet with internet access and an account for an LLM tool (ChatGPT, Gemini, Claude, etc.)
Tutor
Paul Clothier
Paul is an experienced mobile learning designer, author, and educator whose work spans corporate learning, higher education, and technology. He spent over a decade at Apple, working on learning design and performance support for global audiences. That experience continues to influence his work, with careful attention to clarity, usability, and how people learn on mobile devices.
Alongside his consulting work, Paul teaches courses on instructional design and generative AI for Cambridge. He also speaks regularly at international learning and education conferences, sharing practical insights from real-world projects and long-term industry experience.
Paul is the author of Mastering Mobile Learning Design (Routledge), a practical book written for experienced instructional designers and learning professionals. His teaching and writing focus on design choices, constraints, and trade-offs, grounded in the real mobile contexts rather than abstract theory.
Outside his professional work, Paul paints abstract acrylics and composes music for dance companies. This creative practice influences how he thinks about learning design, bringing an awareness of rhythm, pacing, and composition to the way learning experiences are structured.
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