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NTPU AI Learn

NTPU AI Learn

Turn AI Into a Skill You Can Use at Work

Build verifiable AI skills you can take straight back to your job, through real work scenarios: learn, practice, assess, apply.

New to AIChoose a path by goalBrowse courses
28 courses7 learning paths7 learning areas

Find the way you want to learn

Courses, learning paths, and learning areas are three parallel ways to discover content. Pick whichever fits what you need right now.

Courses

Looking for one specific course? Browse the full course catalog.

28 courses

Learning Paths

Have a goal but aren't sure where to start? Pick a path and work through it in order.

7 learning paths

Learning Areas

Interested in an AI topic? Explore the courses and paths in that area.

7 learning areas

First time here and not sure where to start?Find my course

What do you want to use AI for?

Pick the goal closest to your work and go straight to the matching course.

Everyday work efficiency

Judge whether a task suits Chat, Cowork, or Code, and put AI to work every day.

AI Foundations for Work

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Writing & document processing

Write clear work instructions and analyze documents in six steps so AI can help you write and organize.

Administrative & Knowledge Work

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Data analysis

Build trustworthy data-analysis skills, from cleaning data to visualizing it and telling its story.

AI Data Analysis

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Building automated workflows

Break repetitive work into a repeatable, verifiable workflow.

AI 104

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Building an AI agent

Design an agent’s memory, knowledge and skills so AI can keep working on a task over time.

AI Agent Builder

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Responsible AI & AI governance

Understand AI’s limits, risks and human-review methods to adopt AI safely.

Management & AI Adoption

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Industry AI adoption

A concise path for industry sponsors and business-unit leaders: understand how use cases are evaluated, and learn to sponsor a real industry co-creation project that puts AI into real operations.

Executive & Sponsor

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Government AI adoption

For central and local government staff: build responsible, acceptance-ready government AI adoption capability, from application judgment and governance to procurement and acceptance.

Government AI Adoption

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Your next step

Start your first course

We recommend starting with AI 101 to build a foundation in generative AI.

Start learning

Browse the catalog and pick a starting point. Course numbers are permanent; new courses are added in order.

Foundation

AI 101

Claude AI Workforce Fundamentals

From generative to agentic AI: learn to judge tasks, write clear work instructions, review AI output, and produce your own Use Case.

6 hours · 中文 / English · L1 Certificate

Recommended start

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Foundation

AI101L

AI Workforce Applied Lab: From Work Tasks to AI Use Cases

Bring AI 101 fundamentals into real work: frame a task, prepare context, execute and review, design a workflow, and produce an AI Workforce Use Case Canvas.

6 hours · 中文 / English · L2 Certificate

AI 101 recommended first

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Foundation

AI 102

Context Engineering: What Should AI Know?

Move from prompts to context: learn what information an AI task needs, which sources to trust, what to retrieve on demand and what never to provide, and complete your own Context Canvas.

6 hours · 中文 / English · L1 + L2 Certificates

Recommended: finish AI 101

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Core

AI 103

Agentic AI Memory, Knowledge & Skills

Move from context engineering to agentic AI: design an agent's memory, knowledge and skills, understand memory systems, RAG, semantic chunking, metadata, knowledge architecture and context optimization, and complete your own Agent Memory, Knowledge & Skills Canvas.

6 hours · 中文 / English · L1 + L2 Certificates

Recommended: finish AI 102

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Core

AI 104

Agentic AI Workflow & Execution Design

Move from a single AI task to a repeatable agentic workflow: learn task decomposition, sequential / parallel / routing patterns, decision points, the agent loop, execution, verification and human-in-the-loop, decide which steps stay fixed and which the agent may decide, and complete your own Agentic AI Workflow Canvas.

3 hours · 中文 / English · L1 + L2 Certificates

Recommended: finish AI 103

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Core

AI 201

Model Context Protocol: Connecting AI to Tools & Trusted Data

From using AI to letting AI use tools and trusted data safely: understand MCP architecture, trace a tool call, compare MCP, APIs and RAG, and design an implementable MCP Tool Canvas.

7 hours · 中文 / English · L1 + L2 Certificates

Recommended: finish AI 101

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Browse courses

How you learn

Understand first, then practice, check your results, and bring it back to work.

  1. 1

    Learn

    Understand the core concepts

  2. 2

    Practice

    Work on realistic tasks

  3. 3

    Assess

    Check what you learned

  4. 4

    Apply

    Take it back to your work

What we stand for

Human–AI–Human

A human defines the task, AI assists or executes, and a human reviews and stays accountable, in every course.

Real work scenarios

Practice on realistic meeting notes, reports and customer feedback instead of just watching demos.

Practice and assessment

Every course pairs hands-on practice with verifiable assessment, so learning shows.

Privacy by design

We collect only what is necessary and prefer learner codes; quiz answers and personal data stay protected.

Tool-neutral learning

We teach judgment and work modes, not one interface, so a UI change never breaks what you learned.

Find your way in by role

Learners, instructors and administrators each have a public manual in the Help Center.

Learner

Learner Manual

The full path from entering a course and downloading practice files to finishing the tests, Use Case and Exit Ticket, plus common questions.

Course participants and self-paced learners

Read the Learner Manual

Instructor

Instructor Manual

How to reach the Teacher app, teach with Presenter View, guide practice, and understand learning outcomes afterwards.

Instructors and teaching assistants

Read the Instructor Manual

Administrator

Admin Manual

How to create and manage course sessions, read analytics, export data, and handle exported files safely.

Course administrators and coordinators

Read the Admin Manual

Learning resources

Public practice files and learning references you can download and use right away.

Go to resources

Responsible AI

AI provides capability; the human keeps responsibility.