A connected, hands-on course in Generative AI for Design Thinking — progress through 8 practical labs from Set Up Your AI Design-Thinking Toolkit and Write Effective Design Prompts to Measure Success, Embed AI-Supported Design Thinking, and Assemble the Playbook.
📘 Course Page · 🧪 Hands-On Labs · 📖 Learner Guide · 🐛 Report Bug · 💡 Request Feature
Note
These are the official hands-on lab materials for the commercial course:
Course Code: C688 · by Tertiary Courses / Tertiary Infotech
Duration: 1 day · 7.5 instructional hours
Course page: https://www.tertiarycourses.com.sg/design-thinking-with-gen-ai.html
The 8 labs form one connected practical journey. Complete them in order so each verified output can support the activities that follow.
| # | Activity | Outcome |
|---|---|---|
| 1 | Set Up Your AI Design-Thinking Toolkit and Write Effective Design Prompts | Sign in to ChatGPT, Claude, Gemini and an AI image tool, capture the Meridian challenge brief, learn the structured design-prompt pattern and a responsible-AI checklist, and save a reusable prompt template you use in every later… |
| 2 | Frame the Challenge and Map Where AI Adds Value | Explore real-world use cases across sectors, sharpen the Meridian challenge into a clear scope with a target user and success measures, and build an opportunity map that shows where generative AI adds the most value across the… |
| 3 | Empathize — AI-Assisted Research, Sentiment Analysis, Empathy Map and Personas | Run the Empathize stage with AI: draft an interview guide, run sentiment analysis on the supplied patient reviews and survey responses, and build an empathy map and personas grounded in the research — then plan how to validate… |
| 4 | Define — Cluster Insights, Craft the Point-of-View and How-Might-We Questions | Run the Define stage with AI: cluster the empathy research into themes, synthesise a single sharp human-centred point-of-view statement, and generate a set of How-Might-We questions that open the solution space for ideation. |
| 5 | Ideate — Generative Brainstorming, Concept Visuals and Idea Scoring | Run the Ideate stage with AI: use generative AI to brainstorm many diverse ideas against your How-Might-We question, take different perspectives to push past the obvious, generate concept visuals of the strongest ideas, and… |
| 6 | Prototype — Storyboard, AI Wireframe and Service Blueprint | Run the Prototype stage with AI: turn a selected concept into a storyboard of the patient experience, generate a low-fidelity wireframe of any digital touchpoint with an AI or low-code tool, and draft a service blueprint that… |
| 7 | Test — Usability Test Plan, A/B Variations and AI Feedback Analysis | Run the Test stage with AI: draft a usability test plan and tasks for your prototype, generate A/B variations to compare, and use AI to analyse (supplied or gathered) feedback and predict likely outcomes — then decide what to… |
| 8 | Measure Success, Embed AI-Supported Design Thinking, and Assemble the Playbook | Define metrics for AI-supported Design Thinking, plan how to embed the practice and its responsible-AI guardrails into how the organisation works, and assemble and present the complete Meridian Design Thinking Playbook. |
This repository contains the complete lab and courseware package for Generative AI for Design Thinking (C688) by Tertiary Courses / Tertiary Infotech. The practical activities build progressively from Set Up Your AI Design-Thinking Toolkit and Write Effective Design Prompts to Measure Success, Embed AI-Supported Design Thinking, and Assemble the Playbook, with explicit checks that help learners verify each result before moving on.
- Complete 8 connected hands-on activities and carry their outputs through one coherent learning journey.
- Practise with ChatGPT · Claude · Google Gemini · Microsoft Copilot · Adobe Firefly · Google Workspace and the supporting resources supplied in the repository.
- Begin with Set Up Your AI Design-Thinking Toolkit and Write Effective Design Prompts and finish with Measure Success, Embed AI-Supported Design Thinking, and Assemble the Playbook.
- Apply safe data handling, evidence checks and named human review before using AI-generated or automated outputs.
📖 Full walkthrough: see the Learner Guide for the complete course narrative, and labs/README.md for the lab index. Slides, the Learner Guide and the Lesson Plan are in courseware/.
| Category | Details |
|---|---|
| Duration | 1 day · 7.5 instructional hours |
| Delivery | Instructor-led, hands-on practical labs |
| Core tools | ChatGPT · Claude · Google Gemini · Microsoft Copilot · Adobe Firefly · Google Workspace |
| Practical work | 8 connected labs with verification steps |
| Courseware | PowerPoint and PDF slides, Word and PDF guides, Markdown lab instructions |
START
Lab 1 Set Up Your AI Design-Thinking Toolkit and Write Effective Design…
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Connected Practical Labs
Labs 1–8
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FINISH
Lab 8 Measure Success, Embed AI-Supported Design Thinking, and Assemble the…
C688---Generative-AI-for-Design-Thinking/
├── README.md
├── LG-Generative AI for Design Thinking (C688).md
│
├── labs/
│ ├── README.md # Start here: complete lab index
│ └── lab-*.md # 8 connected practical activities
│
└── courseware/
├── *.pptx / *.pdf # Trainer and learner slides
├── LG-*.docx / LG-*.pdf # Learner Guide
└── LP-*.docx / LP-*.pdf # Lesson Plan
- The accounts and software required for ChatGPT · Claude · Google Gemini · Microsoft Copilot · Adobe Firefly · Google Workspace. Follow the setup and access notes in each lab.
- Review
labs/tools.mdbefore class for environment, account and safe-use requirements. - A modern web browser and Git for cloning the materials.
- Synthetic or authorised data only. Do not place secrets, personal data or confidential material into an unapproved service.
- A named human reviewer for facts, calculations, decisions and any externally released output.
git clone https://github.com/tertiarycourses/C688---Generative-AI-for-Design-Thinking.git
cd C688---Generative-AI-for-Design-ThinkingStart with labs/README.md, then complete Labs 1–8 in order. Each lab provides the activity context, practical steps and a way to verify the result.
Store each lab output in the suggested working folder and retain the evidence or review notes requested by the lab. Later activities depend on these approved outputs.
Contributions, corrections and improvements are welcome:
- Fork the repository.
- Create a feature branch:
git checkout -b feature/my-improvement. - Commit your changes:
git commit -m "Add my improvement". - Push the branch:
git push origin feature/my-improvement. - Open a Pull Request.
Found a bug or have an idea? Open an issue.
This material is provided for educational use as part of the commercial course Generative AI for Design Thinking (C688). © Tertiary Infotech Pte. Ltd. All rights reserved.
Tertiary Infotech Pte. Ltd. — Tertiary Courses
Course: Generative AI for Design Thinking (C688)
- The teams behind ChatGPT · Claude · Google Gemini · Microsoft Copilot · Adobe Firefly · Google Workspace.
- Course trainers and learners of C688.
⭐ If these materials helped you learn Generative AI for Design Thinking, star the repository!
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