Skip links

Architect Your Future with AI
用人工智慧建構你的未來


設計企業級AI解決方案

51小時

利用熱門 No-Code / Low-Code平台快速建構

架構 Agentic AI 自主自動化

利用Vibe Coding 開發系統/應用程式

✦ 課程特色

由零建構 3 個應用程式原型

啓發你的AI解決方案​

Email Automation

電子郵件自動化系統

運用No-Code、Low-Code工具處理日常郵件管理,提升溝通效率

Reading App

智能閱讀應用程式

架構AI Agent與RAG檢索增強生成系統

Homework App

作業管理應用程式

建構多人協作系統,自訂使用者介面,並部署至雲端環境

✦ 職場技能提升

為何你要學習Generative AI增值?

緊抓企業轉型、高薪市場與戰略思維三大關鍵機遇

企業轉型趨勢

AI正重新定義香港企業營運模式,從自動化重複任務到提升決策品質,為AI專業人士創造 全新機會

市場需求急切

不同行業對AI架構技術需求急速增長,薪資水平與職涯發展前景十分樂觀​

策略思維優勢

了解現時企業上有甚麼重複性任務可以AI優化,成為企業AI轉型的關鍵推手​

學習成果

架構 AI 解決方案,處理日常業務 (BAU) 任務

結合 No-Code / Low-Code和入門編程,由零建構多種AI 應用

建構並部署適合你領域的 AI 驅動工具

Mobile App
Development

Produce the highest quality work and services for every client, on every project.

課程大綱

課程內容

  • 了解Generative AI 基礎
  • 學習前端設計 ● 學習後端AI邏輯
  • 數據資料庫存取
  • 使用No-Code / Low-Code平台(n8n)進行快速原型
  • 學習 Node.js, Python 編程基礎
  • 了解 n8n 自動化
  • Vibe Coding 介紹
  • 學習以 Vibe Coding 擴展自動化
  • 示範 AI智能閱讀器以展示工具進展
  • 學習 LLM RAG 基礎
  • 深入研究 Context / Prompt Engineering
  • 建構 Exam Preparation App 以展示Context Engineering的
  • 重要性
  • 學習如何選擇適合的模型進行任務
  • 提示指南
  • 學習Agent-based 的概念
  • 用Vibe Coding擴建考試準備應用程式以展示Multi Agent 的應用
  • 學習怎樣有效地安排Multi Agent間的工作
  • 避免 Hallucinations
  • 擴展解決方案;以工具的特性啟發企業應用
  • 探討雲端服務
  • 學習Docker應用,CI/CD Pipelines 基礎
  • 研究企業如何選擇雲端服務
  • 建構家庭作業應用程式
  • 啟發你的個人化AI 解決方案
  • 學習如何選取適當工具
  • 將成品部署到雲端
  • 介紹 n8n – No-code /low code的自動化平台
  • 深入探究 n8n 的核心功能及應用場景
  • 透過 Drag-and-Drop Interface (拖曳式界面),實作個人化智慧 AI Agent
  • 深入分析 AI Agent 在商業場景中的應用
  • 探討AI Agents 的架構設計
  • 企業內部Database 的建構: 數據庫檢索、Agentic RAG、數據標籤化、PDF 文件解析
  • 深入理解 Fine-tuning 的概念及QLoRA 等高效 Fine-tuning 技術
  • 探討常見的Complex AI Agent Architecture – 更具韌性與智能的 AI Solution
  • 打造具備市場潛力的創新AI項目 – 實現 AI Full Stack Development
  • 將所學知識融會貫通,打造你的專屬AI項目

即將開班

1月22日 2026

- 51 小時
- 晚上7:00 -10:00
- 鑽石山課室

課程簡介講座

課程簡介會

- 時長兩小時
- 時間: 7:30-9:30 PM
- 地點: 線上Zoom

WhatsApp 查詢

用人工智慧建構你的未來
設計企業級AI解決方案

課程介紹

這個課程旨在教授您如何快速利用大型語言模型(LLM)的強大功能。從了解LLMs的概念和運作方式,到將其應用和優化,透過提示工程、模型管控、前端開發和性能調優等方面的學習,本課程將使您掌握開發選定領域的尖端LLM解決方案所需的技能和知識。

課程內容​


• 了解生成式人工智慧(GAI)的運作方式
• 基於最新的GAI發展評估商業應用案例
• 針對股票LLM聊天機器人進行性能調優
• 編寫個人化LLM驅動聊天機器人
• 使用您的個人風格/選定領域配置和部署LLM驅動的聊天機器人

Trainer

Bocys Lam
資訊與科技管理學碩士學位
軟體及資訊工程學士學位

業界經驗

● 企業的創新技術高管,擁有超過20年數位技術顧問經驗,曾在保險及營銷行業推動數碼 轉型、提升客戶體驗及領導高績效團隊的經驗。
● 將AI技術與業務目標對齊,推動成長與創新。
● 建立並指導跨職能團隊,培養協作與卓越的文化。
● 引導組織順利完成數碼轉型,同時監督項目。

FAQ

Frequently Asked Questions

A1: To enroll in this course, you should have a general understanding of IT concepts, such as the difference between front-end and back-end development. A basic familiarity with programming concepts like loops and for loops is also recommended. While knowledge of Python is a significant advantage, it is not a strict requirement for this course.

A2: Studying this course is beneficial even if you're not planning a career in IT. The skill of developing generative AI use-cases is rare and highly valued in the market. By understanding how to integrate AI into business, you can significantly enhance your value in various job markets. The course also prepares you for the upcoming trend of innovation within various business sectors.

A3: This course is highly suitable for those considering a career switch to IT. AI's presence in Hong Kong is expanding, and large companies are likely to establish AI and workplace automation teams in the near future. By taking this course, you can practice these skills in your current job, gaining relevant experience for your transition into the IT industry.

 

A4: After completing the course, you can explore a variety of job opportunities. Roles such as AI Specialist and Business Analyst are particularly relevant, as they involve a deep understanding of AI applications in business.
 
It means accounting team, procurement team, HR team, Sales team, marketing team, are all looking for someone with their domain knowledge, to also know Generative AI to facilitate innovation within the team.
This will be the trend moving forward.
 
After studying this course, you may completely switch field to IT with the positions mentioned above, or you may seek to stay in your current industry but look for a new role that encourages innovation within your team.

A5: If you aspire to become a Business Analyst, studying a course in generative AI is highly beneficial as it equips you with cutting-edge data analysis tools and techniques essential for identifying and solving complex business problems. This knowledge enhances your ability to improve performance, lower operation costs, increase project ROI, and make effective decisions. Furthermore, understanding generative AI fosters better team collaboration and risk management, crucial skills for any business analyst aiming to drive success and growth in an organization.

A6: The skill of “Can build a generative AI use case for own business/ company usage” will be very rare and hot in the market in the near future.
If they know the business insight and can develop an AI tools into business use, will be very valuable
“Innovate within the department” will come soon

BA that don’t know coding will start to lose their value.

A7: After completing a course in generative AI, students typically come away with tangible projects or applications they've developed, such as a custom-designed chatbot or a unique AI-driven project. These creations showcase their practical skills in utilizing AI for real-world applications, demonstrating their ability to design, implement, and manage AI systems. Such projects serve as a portfolio piece, evidencing their proficiency in AI technologies and their application in business analysis, which can be valuable for career advancement or academic pursuits.

A8: The ideal candidates for this course are those interested in understanding how AI can be integrated into business practices. This course is suitable for individuals from any industry who wish to gain insights into AI applications in business contexts.