A connected, hands-on course in Generative AI for Design Thinking — progress through 12 practical labs from Set Up Your AI Design-Thinking Toolkit and Explore the Popular GenAI Tools to Run an AI-Accelerated Design Sprint, Measure Success 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: C924 · by Tertiary Courses / Tertiary Infotech
Duration: 2 days · 15 instructional hours
Course page: https://www.tertiarycourses.com.sg/generative-ai-for-design-thinking.html
The 12 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 Explore the Popular GenAI Tools | Sign in to ChatGPT, Claude, Gemini and an AI image tool, explore how the popular generative AI tools differ on a design task, capture the Meridian challenge brief in your own words, and set up the playbook folder you use in… |
| 2 | Write Effective Design Prompts and Apply Responsible, Human-in-the-Loop AI | Learn the structured design-prompt pattern (role, context, task, format, constraints), turn a weak prompt into a strong one, build a small reusable prompt library, and write a responsible, human-in-the-loop AI checklist you… |
| 3 | Map the AI-Accelerated Design Thinking Process and Frame Your Challenge | 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… |
| 4 | Research and Understand Users with AI — Research Plan and Sentiment Analysis | Run the first half of the Empathise stage with AI: draft a user-research plan and an interview discussion guide, then run sentiment analysis on the supplied patient reviews and survey responses to surface what patients love and… |
| 5 | Synthesise Insights into an Empathy Map and Personas | Run the second half of the Empathise stage with AI: turn your research and sentiment analysis into an empathy map (says, thinks, does, feels) and one or two research-grounded personas for the key patient groups, and plan how to… |
| 6 | Define the Problem — 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. |
| 7 | Generate Ideas at Scale with AI — Brainstorm, Perspectives and Remix | Run the first half of 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, and combine and remix ideas into bolder… |
| 8 | Select, Refine and Visualise Concepts with AI | Run the second half of the Ideate stage with AI: score and rank your shortlisted ideas against clear criteria, refine and select the two or three concepts to prototype, and use an AI image tool to turn them into quick concept… |
| 9 | Create a Rapid Prototype — Storyboard, Wireframe and Service Blueprint | Run the Prototype stage with AI: turn your 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… |
| 10 | Test Ideas, Gather Feedback and Iterate with AI | Run the Test stage with AI: draft a usability test plan and tasks for your prototype, generate A/B variations to compare, use AI to analyse feedback and predict likely outcomes as a signal, and decide what to iterate and which… |
| 11 | Craft a Compelling Story and Pitch with AI | Use AI to turn the whole project into a compelling, human narrative and a concise pitch: a story arc that leads with the patient and the insight, a short pitch deck outline, and an executive summary for clinic leadership — all… |
| 12 | Run an AI-Accelerated Design Sprint, Measure Success and Assemble the Playbook | Plan how to run the whole process as a fast AI-accelerated design sprint, define success metrics for AI-supported Design Thinking, plan how to embed the practice and its responsible-AI guardrails, and assemble and present the… |
This repository contains the complete lab and courseware package for Generative AI for Design Thinking (C924) by Tertiary Courses / Tertiary Infotech. The practical activities build progressively from Set Up Your AI Design-Thinking Toolkit and Explore the Popular GenAI Tools to Run an AI-Accelerated Design Sprint, Measure Success and Assemble the Playbook, with explicit checks that help learners verify each result before moving on.
- Complete 12 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 Explore the Popular GenAI Tools and finish with Run an AI-Accelerated Design Sprint, Measure Success 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 | 2 days · 15 instructional hours |
| Delivery | Instructor-led, hands-on practical labs |
| Core tools | ChatGPT · Claude · Google Gemini · Microsoft Copilot · Adobe Firefly · Google Workspace |
| Practical work | 12 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 Explore the Popular GenAI…
│
▼
Connected Practical Labs
Labs 1–12
│
▼
FINISH
Lab 12 Run an AI-Accelerated Design Sprint, Measure Success and Assemble the…
C924---Generative-AI-for-Design-Thinking/
├── README.md
├── LG-Generative AI for Design Thinking (C924).md
│
├── labs/
│ ├── README.md # Start here: complete lab index
│ └── lab-*.md # 12 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/C924---Generative-AI-for-Design-Thinking.git
cd C924---Generative-AI-for-Design-ThinkingStart with labs/README.md, then complete Labs 1–12 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 (C924). © Tertiary Infotech Pte. Ltd. All rights reserved.
Tertiary Infotech Pte. Ltd. — Tertiary Courses
Course: Generative AI for Design Thinking (C924)
- The teams behind ChatGPT · Claude · Google Gemini · Microsoft Copilot · Adobe Firefly · Google Workspace.
- Course trainers and learners of C924.
⭐ If these materials helped you learn Generative AI for Design Thinking, star the repository!
Powered by Tertiary Infotech Academy Pte Ltd