A connected, hands-on course in Generative AI for Problem Solving — progress through 8 practical labs from Create the AI Problem-Solving Charter to Build the Workplace Pilot and Learning Plan.
📘 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: C1234 · by Tertiary Courses / Tertiary Infotech
Duration: 2 days · 15 instructional hours
Course page: https://www.tertiarycourses.com.sg/generative-ai-for-problem-solving.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 | Create the AI Problem-Solving Charter | problem-solving-charter.md and prompt-log.md with a complete FRAME prompt and review checklist |
| 2 | Compare and Refine AI Thinking Outputs | model-comparison.md with a four-criterion rubric, material differences and FRAME prompt version 2 |
| # | Activity | Outcome |
|---|---|---|
| 3 | Frame the HarbourLight Problem | problem-frame.md containing a 5W2H table, scope map, stakeholder view and final problem statement |
| 4 | Build the Root-Cause Evidence Map | root-cause-evidence-map.md with fishbone categories, hypothesis ledger, challenge notes and priority checks |
| # | Activity | Outcome |
|---|---|---|
| 5 | Generate a Diverse Solution Portfolio | option-portfolio.md with at least five distinct options, mechanisms, assumptions and expected signals |
| 6 | Choose and Stress-Test a Pilot | completed decision-matrix.csv, scenario-risk-register.md and decision-record.md |
| # | Activity | Outcome |
|---|---|---|
| 7 | Write the Evidence-Backed Recommendation | recommendation-brief.md and presentation-outline.md with claim-source ledger |
| 8 | Build the Workplace Pilot and Learning Plan | implementation-and-review-plan.md plus a complete C1234-HarbourLight portfolio checklist |
This repository contains the complete lab and courseware package for Generative AI for Problem Solving (C1234) by Tertiary Courses / Tertiary Infotech. The practical activities build progressively from Create the AI Problem-Solving Charter to Build the Workplace Pilot and Learning Plan, 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 · Spreadsheet · Text editor and the supporting resources supplied in the repository.
- Begin with Create the AI Problem-Solving Charter and finish with Build the Workplace Pilot and Learning Plan.
- 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 · Spreadsheet · Text editor |
| Practical work | 8 connected labs with verification steps |
| Courseware | PowerPoint and PDF slides, Word and PDF guides, Markdown lab instructions |
START
Lab 1 Create the AI Problem-Solving Charter
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Topic 1 — Foundations of Critical Thinking and…
Labs 1–2
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Topic 2 — Defining and Analysing Problems with AI
Labs 3–4
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Topic 3 — Generating and Evaluating Solutions with AI
Labs 5–6
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Topic 4 — Communicating and Applying Solutions with AI
Labs 7–8
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FINISH
Lab 8 Build the Workplace Pilot and Learning Plan
C1234---Generative-AI-for-Problem-Solving/
├── README.md
├── LG-Generative AI for Problem Solving.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 · Spreadsheet · Text editor. Follow the setup and access notes in each lab.
- 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/C1234---Generative-AI-for-Problem-Solving.git
cd C1234---Generative-AI-for-Problem-SolvingStart 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 Problem Solving (C1234). © Tertiary Infotech Pte. Ltd. All rights reserved.
Tertiary Infotech Pte. Ltd. — Tertiary Courses
Course: Generative AI for Problem Solving (C1234)
- The teams behind ChatGPT · Claude · Spreadsheet · Text editor.
- Course trainers and learners of C1234.
⭐ If these materials helped you learn Generative AI for Problem Solving, star the repository!
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