intermediate · zh · online
Prompt engineering studio
HK$1,280
Turn a vague wish into a prompt another person can reuse.
提示詞寫得好，App 質素差三倍。這堂課深入教你結構化提示詞、上下文管理、多輪迭代同 debug 技巧，適合已經開始用 AI 寫 code 的你。Learn structured prompting, context management, multi-turn iteration and AI debugging techniques — for builders already using AI to write code.
Sat 28 Nov 2026, 15:00–17:30 HKT · HKVibeCode
What this class covers
- Role, task, context, and format
- Examples that steer the answer
- How to check a bad answer without starting over
- A prompt you can paste into Cursor or Claude
- A short rubric for your own team
- Vibe Coding with Low-Code Solutions
Register interest
Leave an email or WhatsApp number. The admin console keeps a count for this class.
What you learn
- 結構化提示詞框架 Structured prompt frameworks
- 上下文與角色設定 Context and role setup
- 多輪迭代技巧 Multi-turn iteration
- 用 AI 快速除錯 Debug fast with AI
Curriculum
模組一：提示詞結構學 Prompt Structure
- 角色 + 目標 + 限制框架
- Few-shot 範例技巧
- 常見失敗模式分析
模組二：進階技巧 Advanced Techniques
- 上下文管理 Context management
- 多模型協作 Multi-model workflows
- 迭代與重構 Iterate and refactor
模組三：實戰演練 Hands-on Lab
- 真實項目重寫練習
- 互相評審 Prompt
- 你的個人提示詞庫
About the instructor
HKVibeCode
HKVibeCode 創辦人，已協助超過 500 位香港 builder 用 AI 打造自己的產品。
Requirements
- A laptop with internet access
- Read the level on this course before you enrol
- Time to try the exercises