# aiterms.tw

- **Website:** <https://aiterms.tw>
- **Primary alias:** `aiterms.tw`

## Description

AITerms.tw is a structured online learning platform that helps people understand artificial intelligence, explore practical tools, and prepare for Taiwan’s iPAS AI Application Planner certification. Its AI terminology dictionary contains 1,110 entries, with definitions, examples, comparisons, and learning pathways covering concepts across machine learning, deep learning, natural language processing, and other fields.

For exam preparation, the platform offers 765 practice and past-exam questions, diagnostic tests, and targeted exercises to help learners identify knowledge gaps and focus their study. Users can strengthen their understanding by looking up relevant terms, then apply what they learn through the site’s AI tool directory.

AITerms.tw features 81 AI tools and 114 tutorial entry points, including tool comparisons, beginner guides, shortcuts, commands, and use cases. It also organizes 1,129 prompts and command references for quick access. Designed for anyone interested in AI, the platform is especially relevant to iPAS candidates, students, researchers, and organizations seeking AI education resources. Its learning journey connects assessment, concept review, and hands-on tool exploration.

## Industries

- 🧪 Science and Education
- 🧪 Education _(under Science and Education)_
- 🗺 Reference Materials
- 🗺 Dictionaries and Encyclopedias _(under Reference Materials)_

## Links

- [twitter](https://twitter.com/aiterms_tw)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idJ2YG4xdT/w/180/h/180/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791027160830)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Picton Blue | #38bdf8 | accent |
| Cod Gray | #141413 | dark |
| Spring Wood | #faf9f5 | light |

## Fonts

- var(--font-sans) — asset _(custom)_
- var(--font-sans) — asset _(custom)_

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_Source: <https://brandfetch.com/aiterms.tw>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._