CCE launched more than 20 AI-related training programmes in year 2025

澳大持續進修中心於2025年順利完成20多個人工智能相關課程

澳大持續進修中心於2025年順利完成20多個人工智能相關課程

澳大持續進修中心於2025年1月至12月成功舉辦23項人工智能類別課程,課程內容方面涵蓋生成式人工智能、機器人科技、大數據分析、人工智能提升活動管理能力、智慧城市應用等前沿領域。累計781人次參與,平均每班約34人,展現本中心在配合國家政策、澳門特區發展方向,以及依靠大學優勢學科的努力下,推動人工智能教育及專業培訓上的努力與成果。在這23項課程中,包括:

  • 獲本地政府持續進修資助(PDAC)課程4班
  • 一般公開招生課程2班
  • 獲本澳醫療專業委員會認可持續專業發展(CPD)計劃課程1班
  • 本地教師培訓1班
  • 跨境教師/高管研修項目1班
  • 跨境學生研學遊14班,學校包括西北工業大學(985)、江蘇大學、哈爾濱工程大學、南京航空航天大學、華中農業大學(均為211)等高校學生

中心未來將繼續發揮澳大學科優勢,與各學院共同提供人工智能相關教育培訓課程,為本地公眾及區域專業人士,提供更多元化的學習機會,並促進優質跨境師生學術培訓交流。

CCE launched more than 20 AI-related training programmes in year 2025

The Centre for Continuing Education (CCE) of the University of Macau (UM), successfully organized 23 AI-related courses from January to December 2025. The course content covered areas such as generative artificial intelligence, robotics technology, big data analytics, AI for enhancing event management capabilities, and smart city applications. A total of 781 participants attended, with an average of about 34 people per class, demonstrating the Centre’s efforts and achievements in promoting AI education and professional training by aligning with national policies, the development direction of the Macao SAR, and leveraging the University’s academic strengths.

Among these 23 courses:

  • 4 classes were under the local government’s Continuing Education Development Plan (PDAC)
  • 2 classes were public courses
  • 1 class was part of a CPD programme recognized by the local medical professional committee
  • 1 class was local teacher training
  • 1 class was for cross-border executive training
  • 14 classes were cross-border student study tours, involving students from universities such as Northwestern Polytechnical University (985), Jiangsu University, Harbin Engineering University, Nanjing University of Aeronautics and Astronautics, and Huazhong Agricultural University (all 211 universities)

Looking ahead, the Centre will continue to leverage the University’s academic strengths and collaborate with various faculties to provide AI-related education and training courses, offering diverse learning opportunities for the local public and regional professionals, and promoting high-quality cross-border academic exchanges for teachers and students.