「AI不會取代人類，但使用AI的人會取代不用AI的人。」— 哈佛商學院教授卡林．拉哈尼（Karim Lakhani）
本課程由商學院數媒學程開設，竭誠歡迎全校各系同學跨域選修，共同建構 AI 時代的數位生產線。
本課程旨在培養學生面對數位勞動力時代必備的AI核心素養與系統整合思維。有別於傳統工具操作，本課程將學生定位為「AI的最終指揮官」，著重訓練意圖導向(Intent-driven)的邏輯拆解能力，以及人機協作(Human-in-the-Loop, HITL)的品味把關。
課程結合理論與跨世代實作，帶領學生從零建構專屬的「數位生產線」。學習範疇涵蓋：運用萬用詠唱公式精準調用AI數位秘書、透過Gemini Notebook處理巨量資料並建立私有知識庫(RAG 概念)，以及整合AI文案、多模態生圖、音效與極速剪輯工具，完成從概念發散到視覺排版的數位內容產製。
此外，課程嚴格守護「負責任的AI (Responsible AI)」底線。我們將深入探討影子AI(Shadow AI)的資安風險、生成式內容的著作權歸屬、深度偽造(Deepfake)的防範，以及學術誠實的軌跡標註，確保學生具備商管領域極度重視的數位防禦與倫理意識。
期末將以「解決真實痛點的最小可行產品(Minimum Viable Product, MVP)提案」進行實體驗收。學生修習完畢後，不僅能熟練駕馭多代理人協作與If-Then邏輯規章，更將累積完整的個人數位資產與工作流，為未來順利銜接進階專業設計課程與「畢業專題(Capstone Project)」打下最強悍的技術與心法基石。
《 課程簡介 -- English 》
“AI Won't Replace Humans — But Humans With AI Will Replace Humans Without AI.”
— Karim Lakhani, Professor at Harvard Business School
Offered by the Digital Media Program within the Business School, this course warmly welcomes students from all disciplines across the university for cross-disciplinary enrollment, inviting them to collaboratively build the digital production lines of the AI era.
This course is designed to cultivate the essential AI literacy and system integration mindset required for the emerging era of digital labor. Distinct from traditional software operation training, the curriculum positions students as the "Ultimate Commanders of AI." It focuses on training Intent-driven logical deconstruction skills and the critical aesthetic curation inherent in Human-in-the-Loop (HITL) workflows.
Integrating theory with cross-generational practical exercises, the course guides students to build their exclusive "Digital Production Lines" from scratch. The learning scope encompasses: utilizing universal prompt formulas to precisely invoke AI digital secretaries; processing massive datasets and establishing private knowledge bases (the RAG concept) via Gemini Notebook; and integrating AI copywriting, multi-modal image generation, sound effects, and rapid video editing tools to execute digital content production from conceptual brainstorming to visual layout.
Furthermore, the course strictly upholds the baseline of Responsible AI. We will delve into the cybersecurity risks of Shadow AI, the copyright attribution of generative content, the defense against Deepfakes, and the documentation of modification trails for academic integrity. This ensures students possess the robust digital defense mechanisms and ethical awareness highly valued in the business management sector.
The semester will conclude with a physical presentation of a "Minimum Viable Product (MVP) Proposal Solving Real-World Pain Points." Upon completion of the course, students will not only master multi-agent collaboration and If-Then logical rules, but will also have accumulated a comprehensive portfolio of personal digital assets and workflows. This lays the strongest technical and psychological foundation for their seamless transition into advanced professional design courses and their future Capstone Projects.
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