AI Workforce
Focus: AI literacy, daily work, human-AI collaboration, applied work
Build a working mental model of AI from zero: judge tasks, give clear instructions, review output. The starting area for every learner.
2 courses · AI 101 · AI101L
Learning Areas
Browse courses by learning area and find the direction that fits your goal. A learning area is a taxonomy, not a required sequence.
7 learning areas
Knowledge & Workflow
Focus: Context engineering, memory & knowledge, workflow design
Building on AI Workforce fundamentals: deepen context management, agent memory and knowledge architecture, and repeatable workflow design.
4 courses · AI101L · AI 102 · AI 103
AI Builder
Focus: Trusted tool connectivity, planning & reasoning, multi-agent collaboration, and reliable automation
From MCP trusted tools through planning and reasoning to multi-agent collaboration and reliability-focused agent harness engineering.
4 courses · AI 201 · AI 202 · AI 301
Data & Evidence
Focus: Data literacy, data wrangling, visualization storytelling, predictive analytics, data products, and data agents
The full data-science track: from AI evidence literacy through Web3, fintech and sustainable finance, ESG data foundations, data wrangling, and visualization storytelling, through machine-learning foundations, AI-assisted data science, data-product engineering, and data-agent systems.
9 courses · DS 101 · DS 102 · DS 103
AI Leadership & Adoption
Focus: Manager-oriented AI adoption, risk governance, and organizational application
Focused on how managers and department coordinators responsibly evaluate, pilot, and drive AI adoption: from AI Use Case Discovery and process/pain-point discovery through use-case prioritization.
3 courses · AD 101 · AD 102 · AD 103
Industry AI Co-creation Lab
Focus: University-industry co-creation, real industry projects, and an approved public case library
Brings NTPU AI Learn outcomes into real industry problems. Multidisciplinary experts, industry sponsors, domain experts, and project teams jointly frame problems, build proof of value, assess readiness, run controlled pilots, and use measurable evidence to decide whether to adopt, scale, iterate, or stop. Not every AI idea should be implemented: a well-supported No-Go is also a valuable outcome.
5 courses · IL 101 · IL 201 · IL 202
GoAI (Government AI)
Focus: Government AI adoption: application judgment, governance, procurement, testing, and acceptance
Government AI courses for responsible adoption, governance, data and permission controls, reliability, procurement, evaluation, acceptance, and auditability. GoAI 101 is offered in an 8-hour full edition and a 6-hour essentials edition.
2 courses · GoAI 101 · GoAI 101 · 6h