HKPC Academy

Vibe Coding for Non-Tech Staff: Build AI Tools Without Code

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Course Information

Schedules
  • 23 Jul 2026 (Thu) 2:00 PM - 5:30 PM
Registration period
17 Jul 2026 (Fri) - 22 Jul 2026 (Wed)
Price
HKD 1,800
Course Level
Study Mode
Duration
3.50 Hour(s)
Language
Cantonese
Location
HKPC Building 78 Tat Chee Avenue Kowloon

Course Overview

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

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)



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