Skip to content
NTPU AI Learn

About NTPU AI Learn

NTPU AI Learning & Practice Platform

Platform overview

NTPU AI Learn is National Taipei University’s platform for learning and practicing AI. It is organized into courses; every course combines learning content, hands-on practice, assessment, and application to your own work.

Claude is the tool taught in the first course (AI 101) — it is not the platform itself. The platform is deliberately vendor-neutral, so future courses can cover other AI topics and tools.

Purpose

To help colleagues at the university use AI in daily work safely, effectively, and with good judgment — and to turn what they learn into concrete applications the organization can discuss and adopt.

Who it serves

  • Learners: read the course, download practice files, take the tests, and submit a Use Case and Exit Ticket
  • Teachers: teach with Presenter View, guide practice, and understand learning outcomes
  • Administrators: create and manage course sessions, read analytics, and export data

Learning model

Every course follows one path: learn the concepts, practice on realistic files, check your progress with tests, and turn what you learned into a Use Case for your own work.

  1. Learn
    Read the modules and confirm your understanding with short checks
  2. Practice
    Work through realistic files
  3. Assess
    Pre- and post-tests make progress visible
  4. Apply
    Complete a Use Case Canvas and an Exit Ticket

Course numbering

Courses are identified by a permanent number, such as AI 101. The number never changes when a course is renamed, so links and references stay valid over time.

Bilingual learning

The platform and every course are available in Traditional Chinese and English. Each language is written natively rather than machine-translated, and the structure is identical. When you switch languages you stay on the same page.

Hands-on learning

We believe working skill is built by doing. Courses use realistic meeting notes, reports and customer feedback so you practice in conditions close to real work.

Responsible AI use

Human

  • Defines the task and goal
  • Reviews AI output
  • Remains accountable for the result

AI

  • Assists or executes the task
  • Provides drafts and analysis
  • Does not replace judgment or responsibility

Info

Human → AI → Human: high-impact output must always be reviewed by a person before it is used.

Roles and guides

Learners, teachers and administrators each have a public guide. The applications teachers and administrators actually operate require authorized sign-in; the guides themselves are fully public.

What next?