- Quick Note:
- Please refer to the course provider's website for the course details.
Course Information
Schedules*
- 10 Dec 2026 (Thu) 2:30 PM - 6:00 PM
Registration period*
21 Oct 2026 (Wed) - 9 Dec 2026 (Wed)
Price
HKD 1,800
(Early Bird Price: HK$ 1,680 for enrolment with full payment settled before 26/11/2026)
(Early Bird Price: HK$ 1,680 for enrolment with full payment settled before 26/11/2026)
Course Level
Study Mode
Duration
3.50 Hour(s)
Language
Cantonese
Location
1/F, HKPC Building
*Note: The schedule above is for reference only. Please refer to the course provider's website for the schedule.
Course Overview
[Once the course reaches a sufficient number of registrations, we will send the course and payment details to the email address registered by the participants.]
Course Introduction
This 3.5-hour course introduces non-technical professionals to “vibe coding” — a practical approach to building AI-powered tools without programming.
Through guided demos and hands-on exercises, participants will create simple workplace tools and learn how to apply AI to improve productivity and automate daily tasks.
What You’ll Learn
Course Highlights
1. Introduction
- What “vibe coding” is (describe → generate → test → refine)
- Why non-tech staff can do this
- Real workplace examples
- Workshop goals & expectations
- Tools introduction: Microsoft Copilot Studio, Replit, Poe, Claude Code, Cursor, etc.
2. Foundations of Vibe Coding
- The 4-step Vibe Loop
- Prompt structure:
- o Context: Provide the background information.
- o Goal: State exactly what you want the AI to achieve.
- o Constraints: List the “rules” of the task.
- o Output: Define the format of the result.
- Examples of good vs vague prompts
- Quick prompt rewrite exercise
3. Live Demo: Build a Tool
- Build a simple internal web tool live
- Showing: Initial prompt, Running the tool, Iterating with improvements
- Add step-by-step features
- Demonstrate fixing errors with AI
4. Hands-On Exercise #1
- Participants build a small tool:
- o Tracker: stock tracker
- o Dashboard: visualization of a uploaded file
- o Generator: generate PDF files
- o Internal utility: sales forecast, break even analysis, cost calculators etc.
- Generate → test → improve
- Brief share-back
5. Workplace Use Cases
- HR examples: application tracing system
- Marketing examples: customer service AI agent
- Finance examples: stock trading strategies
- Operations examples: office automation
- 6. Prompting Like a Pro
- How to improve design & usability
- Asking AI to critique its own output
- Adding features incrementally
- Improving clarity & specificity
- Upgrade earlier tool exercise
7. Risk, Security & Boundaries
- Data privacy basics
- Avoiding confidential data exposure
- Testing AI output
- When to involve IT
- Safe internal deployment practices
8. Hands-On Exercise #2 (Real Work Tool)
Trainer
Dr Patrick TSOI, he is a trainer with over 28 years hands-on data science, Big Data and programming experiences. He is a Doctor of Education graduate from the Hong Kong Baptist University, Master in IT Education graduate from the University of Hong Kong and B.Eng in System Engineering and Engineering Management from the Chinese University of Hong Kong.
