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Multimedia & Coding: Two CTL Workshops Deliver Practical Generative AI Skills to Campus Creators

As part of the Library’s AI Awareness Week, Mr. Andy Chan (CTL) was invited as a guest speaker to conduct 2 hands-on workshops titled “From Prompt to Pixel – Creating Multimedia with AI” & “Coding with AI – A Hands-On 101”. Those workshops are designed to unlock the practical and creative potential of Generative AI. It offered participants hands-on opportunities to transition from passive consumers of technology to active, creative collaborators.

Workshop 1: From Prompt to Pixel – Creating Multimedia with AI

“From Prompt to Pixel”, focused on transforming traditional academic content into dynamic, visually compelling learning materials, showing participants how to turn text-heavy resources into engaging, easily digestible formats.

  • Visual Storytelling: Translating complex academic concepts into intuitive educational graphics and sequential comics using structured prompts.
  • Interactive Narrative: Designing choice-driven educational story games through the structured 3C Model (Challenge, Choices, Consequences).
  • AI-Powered Video: Generating, scripting, and editing high-quality multimedia content efficiently using Microsoft Clipchamp AI.

By comparing outputs and refining prompts, participants learned how to steer AI tools to create cohesive visual narratives, making educational content significantly more engaging and accessible.

Workshop 2: Coding with AI – A Hands-On 101

“Coding with AI”, was designed primarily for students, offering them a practical entry point into software development through the modern philosophy of “Vibe Coding.”

  • Vision-First Development: Focusing on high-level system design and creative problem-solving rather than memorizing syntax.
  • Human-AI Collaboration: Shifting the student’s role from a passive user to an active “product manager” directing an AI collaborator.
  • Rapid Prototyping: Breaking down complex tasks progressively to turn conceptual ideas into working applications.

By acting as directors of their own AI assistants, students successfully built functional applications from scratch, proving that lack of coding background is no longer a barrier to digital innovation.

Looking Beyond the Output

By actively designing, building, and iterating with AI, both workshops empowered participants to look beyond the surface of automated outputs. Whether rendering a pixel or executing a line of code, attendees walked away with a deeper, more critical understanding of how to purposefully direct Generative AI to bring their unique visions to life.

CTL thanks Ms Jenny Chan and the Library team for the successful collaboration in promoting AI literacy and responsible innovation in teaching and learning.