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一、本次活動以「人工智慧代理人基礎實作與課程推進策略」為主題，旨在協助教師了解人工智慧代理人(Agentic AI)之基本概念及其於教學現場之應用方式，並透過專題分享與實機操作，引導教師掌握相關AI工具之基礎應用，進一步思考如何融入課程設計與教學實踐。期透過實作經驗，提升教師運用AI工具之能力，並促進相關教學經驗於校內持續推動與擴散。
二、活動資訊如下：
(一)第1場次：
1、時間：115年11月20日(週五) 13時至17時。
2、活動地點：本校集思北科大會議中心貝塔廳。
(二)第2場次：
1、時間：115年12月16日(週三) 13時至17時。
2、活動地點：本校集思台大會議中心拉斐爾廳。
三、參加對象：
(一)各大專校院對人工智慧工具融入課程與教學具有興趣之教師。本活動以基礎實作為主，無須具備資訊科技相關專業背景；以尚未實際使用人工智慧代理人(Agentic AI)相關工具，如Claude Code、Codex等，且有意將所學應用於教學，並於活動後將相關經驗帶回所屬學校進行分享與推廣者為優先。
(二)為協助與會者實際了解及熟悉人工智慧代理人(Agentic AI)之操作與應用，活動將安排實機操作，請參與者自備可連接網路之筆記型電腦。本活動將提供每位錄取者1個月之Claude付費帳號供課程實作使用，相關帳號將於活動前1週提供予錄取者，請錄取後務必預留時間參與活動，並妥善運用相關帳號資源；如確定無法參加，請及早通知，以利名額及帳號資源之調整與安排。
(三)每梯次預計錄取50人，以一校1名為原則，並依報名先後順序及實際報名情形安排參與場次。活動名額有限，請有意參加者儘早報名，以免向隅。
(四)報名方式：115年10月19日(週一)至10月30日(週五)中午12時開放報名：https:／／forms.gle/We7w4jKMahAGHz2P8，成功報名者於報名截止日後寄發通知信件。
(五)為響應政府環保政策，請與會者攜帶環保杯。講義等課程資訊將陸續公告於https:／／bit.ly/高教深耕－工作坊， 活動會場恕不提供紙本資料。
(六)聯絡窗口：
1、陳羿珺小姐(02-3366-2977，chenic00@ntu.edu.tw)。
2、張郁晨小姐(02-3366-6623，ycc501@ntu.edu.tw)。
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I. This workshop, themed "Foundational Implementation and Curriculum Advancement Strategies for AI Agents," aims to assist faculty members in understanding the fundamental concepts of Agentic AI and its practical applications in the classroom. Through specialized sharing sessions and hands-on training, the program is designed to guide educators in mastering the basic applications of relevant AI tools, thereby encouraging them to integrate these technologies into curriculum design and pedagogical practices. The ultimate goal is to enhance faculty proficiency in utilizing AI tools through practical experience and to promote the continuous implementation and dissemination of these teaching methodologies across the university.
II. Event Information:
(A) Session 1:
1. Date and Time: Friday, November 20, 2026, from 13:00 to 17:00.
2. Venue: Beta Hall, Jisi-NTUST Conference Center.
(B) Session 2:
1. Date and Time: Wednesday, December 16, 2026, from 13:00 to 17:00.
2. Venue: Raphael Hall, Jisi-NTU Conference Center.
III. Target Participants:
(A) Faculty members from various higher education institutions who are interested in integrating AI tools into their curricula and teaching. This workshop focuses on foundational implementation and does not require a professional background in Information Technology. Priority will be given to those who have not yet utilized Agentic AI tools (such as Claude Code, Codex, etc.) but intend to apply the acquired knowledge to their teaching and share their experiences within their respective institutions following the event.
(B) To ensure participants gain practical familiarity with the operation and application of Agentic AI, hands-on training sessions will be provided. Participants are required to bring their own laptops with internet access. Each admitted participant will be provided with a one-month paid Claude account for course implementation. These accounts will be distributed one week prior to the event. Admitted participants are requested to reserve the necessary time for the workshop and utilize the account resources appropriately. Should you be unable to attend, please notify us as early as possible to facilitate the reallocation of spots and account resources.
(C) Each session is expected to admit 50 participants, with a general principle of one representative per institution. Participants will be assigned to sessions based on the order of registration and actual enrollment status. As capacity is limited, interested parties are encouraged to register early to secure a place.
(D) Registration: Registration will be open from Monday, October 19, 2026, to Friday, October 30, 2026, at 12:00 PM via the following link: https://forms.gle/We7w4jKMahAGHz2P8. Notification emails will be sent to successful applicants after the registration deadline.
(E) In response to government environmental policies, participants are requested to bring their own reusable cups. Course materials and other information will be announced periodically at https://bit.ly/高教深耕－工作坊. Please note that no printed materials will be provided at the venue.
(F) Contact Information:
1. Ms. Yi-Chun Chen (02-3366-2977, chenic00@ntu.edu.tw).
2. Ms. Yu-Chen Chang (02-3366-6623, ycc501@ntu.edu.tw).
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