Course topics include:
掌握 LLM 運作原理與模型限制
運用prompt engineering優化 AI 回應
應用思維鏈 (CoT) 處理複雜邏輯
搭建 RAG 知識庫精準引用文件
開發具備自主推理的 AI Agent
嵌入 Python 代碼連接外部 API
發布專屬 AI 網頁應用程式
LLM 原理與智能助理搭建
掌握大型語言模型運作機制，運用視覺化平台快速配置 AI 人格 (Persona)，構建首個專屬智能對話助理。
進階提示詞工程 (Prompt Engineering)
深入學習 Zero-shot 及思維鏈 (CoT) 技術，透過精準指令引導模型邏輯，大幅提升 AI 回應質量與穩定性。
實戰 RAG 知識庫架構
運用檢索增強生成 (RAG) 技術，將學校手冊或教材轉化為向量數據，打造能「讀懂」文件並精準回答的 AI。
自動化工作流 (Workflow) 設計
學習系統架構邏輯，運用條件分支 (If/Else) 與意圖識別節點，設計能自動分流處理複雜任務的智能流程。
AI Agent 智能體與聯網工具
開發具備自主推理能力的 Agent，整合 Google 搜索等聯網工具，讓 AI 能主動規劃步驟並獲取最新資訊。
Python 整合與 API 串接
進階嵌入 Python 代碼節點進行數據運算，並連接外部 API (如天氣數據)，無限擴充 AI 系統的功能邊界。
專案發布與 Web App 部署
整合前端介面設計與後端邏輯，將開發完成的 AI Agent 發布為獨立的 Web App 應用程式，供真實用戶使用。
Python Basics Course
如果沒有Python知識,直接學習LLM課程可能會有一定難度。該課程系列需要一定的Python編程基礎。
如果學生對LLM課程感興趣但還沒有Python基礎,建議可以先學習ICT Python課程,打好編程基礎。ICT Python課程可以幫助學生系統地學習Python語法和編程思想。
FAQ
AI 技術小知識
LLM (Large Language Model) 是基於深度學習的 AI 模型，如 GPT-4 或 Claude。與傳統依賴「關鍵字配對」的機械式 Chatbot 不同，LLM 具備理解上下文、推理及生成內容的能力。本課程將教導學生如何駕馭這些模型，從單純的「使用者」晉升為「開發者」。
AI Agent (Intelligent Agent) 被視為生成式 AI 的下一階段。普通的 AI (如 ChatGPT) 只能被動回答問題；而 AI Agent 具備 「感知、規劃、行動」 的能力。它可以自主上網搜尋最新資訊、使用工具 (如計算機、API) 並執行複雜任務。學習開發 AI Agent，等於掌握了未來自動化科技的核心。
RAG (Retrieval-Augmented Generation) 是一種讓 AI 「讀懂」特定知識庫的技術。通用的 AI 可能會編造事實 (Hallucinations)；透過 RAG 技術，我們可以將「學校手冊」或「學科教材」匯入 AI，讓它基於事實提供準確回答。這是構建 校本 AI 助教 or 智能客服 的關鍵技術。
不需要。 本課程採用先進的 視覺化應用編排平台 (Visual Orchestration Platform) 進行教學。學生主要透過邏輯模組 (Nodes) 來設計 AI 工作流，大幅降低了編寫代碼的門檻。我們會從基礎的 Prompt Engineering 教起，即使是初中學生也能上手開發企業級 AI 應用。
完全符合。 本課程涵蓋 人工智能 (AI) and 大型語言模型 (LLM) 等指定資助技術範疇。課程內容包含 AI 理論、系統架構設計及實戰應用開發，旨在提升學生的資訊科技素養與創新能力，完全符合資助計劃的審批準則。我們可提供詳細的計劃書範本協助學校申請。
不需要。 我們選用的 企業級 AI 開發平台 支援雲端部署 (Cloud-based)，學校無需購置昂貴的 GPU 伺服器即可運行強大的 LLM 模型。學生只需使用一般的電腦或平板電腦，透過瀏覽器即可進行開發與測試，大大降低了硬件門檻。
學生將在課程尾聲完成一個 專屬的 AI Web App (網頁應用程式)。這可能是一個「校園資訊查詢助理」、「學科智能導師」或「自動化研究 Agent」。這個 Web App 可以生成獨立網址 (URL) 分享給老師或同學使用，成為學生豐富的 OLE orICT SBA作品。
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📘 Course Unit Structure: Coverage Python LLM,AI-generated art, Unitree robotics courses, etc.syllabus
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