49 course modules, combined into 3, 6 and 9-hour programs by role and duration. Mix them however you need. Besides public classes, you can book a private class for your company or have us run corporate training on-site.
Start from your role, then pick the class length that fits.
The larger the group, the lower the per-person rate —— People 5–15 at full rate, 16–30 at 70%, 31 and up at 50%
From NT$ 25,000
4 people · minimum class size
Learn to use an IDE, read a repo, and grasp SSOT — the foundation every later module builds on.
6 modules · 125 min
3-hour schedule = 125 min teaching + 40 min guided practice and Q&A + 15 min breaks
From NT$ 48,000
4 people · minimum class size
Use Skills to produce PRDs and specs that both engineers and AI can read; understand component libraries and build high-fidelity mockups in Storybook.
13 modules · 270 min
6-hour schedule = 270 min teaching + 60 min guided practice and Q&A + 30 min breaks
From NT$ 68,000
4 people · minimum class size
Run one full loop from PRD and prototype through deployment and version control — write the spec, sign off delivery, and teach the team to repeat it.
19 modules · 455 min
9-hour schedule = 455 min teaching + 40 min guided practice and Q&A + 45 min breaks
Government subsidy
Companies with 30 or fewer staff can apply for MOEA digital-transformation training subsidies, up to full reimbursement.
Curriculum is adjustable
These syllabi are suggestions — modules can be added or swapped for your team, and every exercise is rebuilt around your real cases.
Open data
Partners integrating with us? Course catalog API (JSON — 49 modules and 21 packages)
49 course modules, from beginners to software teams. Join a public class, book the whole class for your company, or have us deliver corporate training on-site, with the syllabus tailored to your team.
49 modules · 1245 minutes of teaching
A clear rule for when to use a chat box and when to let AI work directly in an IDE
Verified by：Can name three situations where AI should edit files directly in an IDE
For：Anyone new to AI tools
A workflow for cloning a project and understanding its repo structure
Verified by：Clones a repo locally and explains what the main folders are for
For：Planners, PMs and engineering assistants taking over existing projects
A save-and-restore habit so mistakes can always be undone
Verified by：Breaks a file on purpose, then restores the previous version with Git
For：Admin staff and document owners worried about breaking files
A prompt routine for having AI explain a project in plain language
Verified by：Has AI explain an unfamiliar project and writes a three-line summary
For：PMs and marketers who need to understand engineering deliverables
A personal single source of truth (SSOT) note structure
Verified by：Sets up a personal vault and consolidates scattered material into one note
For：Admin, HR and knowledge managers with scattered documents
A collaboration workflow for branching, merging and resolving conflicts
Verified by：Creates a branch, opens a PR and resolves a merge conflict
For：Teams and PMs co-editing the same documents
A shared department knowledge base built on Obsidian and GitHub
Verified by：The department knowledge base is live and at least two people can sync edits
For：Department heads and knowledge management leads
Turning repeated conversations into a reusable .md Skill
Verified by：Turns a frequently used prompt into a Skill that gives consistent results on new data
For：Admin, customer service and sales assistants with repetitive tasks
A note-writing style AI digests well, plus a feel for reading cost
Verified by：Restructures a long note for AI and estimates its token cost
For：Anyone wondering why AI is sometimes great and sometimes not
A workflow where AI interviews you and writes the answers back to your notes
Verified by：AI interviews you once and the notes land in your vault automatically
For：Admin, HR and project assistants
Criteria for choosing between the three integration methods
Verified by：Picks an integration method for one company system and explains why
For：Managers and IT contacts scoping AI adoption
A checklist for storing keys and choosing an authorization method
Verified by：Explains the difference between an API key and OAuth and revokes an authorization
For：IT contacts, security leads and system admins
The GCP authorization, GTM, GA4, Search Console and Meta CAPI setups we teach were built and verified on our own sites first, then turned into lessons.
Sign-ups are sent from both the browser Pixel and the server-side Conversions API with a shared event_id for deduplication; email and phone are SHA-256 hashed before advanced matching.
GTM tags and triggers are created by a script through the Tag Manager API, alongside GA4 and Search Console for tracking article traffic and search performance.
One config file and one OAuth authorization: a script sets up Search Console verification, the GA4 property and the GTM container, then checks after deployment that the page carries the snippets and GA4 realtime shows visitors.
Use Google Tag Assistant or your browser's developer tools to check what each site runs.
Hsing Wu University of Science and Technology, Dept. of Information Technology Applications｜micro-credit course
Week two of the two-week micro-credit course, with Tony and Finn assisting. The lab machines had been wiped, so we reinstalled the tools, connected Copilot and pulled last week's project back from GitHub, then used CLIs to have the AI find jobs, tailor three résumés and put the site online.
Instructor: Eric2 hours
Hsing Wu University of Science and Technology, Dept. of Information Technology Applications｜micro-credit course
Week one of a two-week micro-credit course, invited by Prof. Lien Su-yuan, with David assisting. From a one-page site in a chat AI to installing the tools, letting the AI interview you, building a personal site and saving it to GitHub.
Instructor: Eric2 hours
Providence University, Office of International Affairs｜MOE programme on employment guidance for international students
26 international students. From the numbers on staying in Taiwan, the points system and the 2026 rule change to leverage in the AI era, then a three-part workshop: value ranking, Holland types and STAR statements.
Instructor: Eric2 hours
Hsinchu Central Market business district association, guided by the Ministry of Economic Affairs｜Hsinchu Central Market
Third session of the free AI × Storytelling series. Most learners were market stall owners and seniors. Starting from their own shop data, they used an agentic AI to produce an intro page, a menu, a website and social images.
Instructor: Eric3 hours
WPORT × AUdaciousEdu, Taipei
Third in the AI series, 11 sign-ups. SSOT, Obsidian and an IDE so an agent can produce admin documents and a personal site.
Instructor: Eric3 hours
WPORT, Luzhu, Taoyuan
First in the AI series, co-taught with WPORT engineer David, 17 sign-ups. Three hours from zero code to a personal site and a tailored résumé.
Instructor: Eric + David3 hours
Kainan University, Dept. of Information Management｜industry expert co-teaching
One student per machine in a computer lab, from an Obsidian vault all the way to a live deploy.
Instructor: Eric3 hours
WPORT, Taipei
Not a lecture, a build day. Took beginners from cleaning open government data to a RAG lookup, 7 sign-ups.
Instructor: Eric3 hours
Kainan University, Dept. of Information Management｜industry expert co-teaching
Writing PRDs that both engineers and AI can read, then handing them to an IDE to build.
Instructor: Eric + David3 hours
Corporate in-house training for non-technical staff
Taught by David: designers, support and marketing staff without coding backgrounds shipping real outcomes with Claude Skills.
Instructor: David2 hours
Jing-Li Digital (corporate training)
Hands-on n8n: collecting leads automatically and wiring them into a workflow you can rerun.
Instructor: Eric3 hours
Andong Youth Start-up Base (Taoyuan Youth Affairs Bureau)｜community college AI course
Hosted by the Andong Youth Start-up Base and taught by David for a mostly senior class of about 15. Old-school versus AI learning, a three-step prompting method, GIGO and learning to ask; tools included ChatGPT, DALL·E and Suno.
Instructor: David3 hours
「Eric 講課清楚親切 讚讚讚」 「課程非常實用」 
Class recap安裝 @wport/cli，一行指令搜尋 WPORT 職缺、輸出 JSON 給 Cursor 等 AI Agent 接續處理。含安裝步驟、常用指令、Agent 友善參數與實戰範例。
Read the full recap →
Class recap聰電站是 WPORT 定期舉辦的實體活動系列，每場聚焦一個主題，全程動手做。從 AI 工具應用到在台求職，帶學生、上班族把工具真正跑起來。
Read the full recap →
Class recap不需要寫過程式，也能用 AI 工具做出個人網站、客製履歷、自動化工作流。完整還原聰電站 Vol.3 的四個實作階段。
Read the full recap →Class recap帶中壢、八德、蘆竹零基礎初學者，用 Cursor、Obsidian、CLI、MCP 三小時做出個人網站與客製化履歷。
Read the full recap →
CEO, Hotfire Digital (WPORT) · BD · PM
Corporate trainer for n8n automation and GA MCP digital marketing; speaker at NCCU, NTNU and Microsoft × Synnex; ten years in B2B business development.
LinkedIn
Senior Engineer at WPORT (7+ years)
Claude Skills corporate trainer, university PRD-to-SPEC lecturer and Claude public course TA; specializes in helping non-coders ship working results.
LinkedInPackages and starting prices are on the cards above, so there is no back-and-forth on pricing. We start with a 30-minute consultation to confirm the department, headcount and the problem to solve, then send a curriculum adjusted for your company plus a formal quote. Once confirmed we set dates and run it on-site or online. Typically two to three weeks from enquiry to class.
Four people is enough to run a class. Up to 50 works as-is; above 50 we move to a custom plan — teaching method, space, teaching assistants and grouping all need rethinking.
Per-session pricing: 3 hours from NT$25,000, 6 hours from NT$48,000, 9 hours from NT$68,000, each including 4 people; additional people are charged per head from the fifth. Materials included, and on-site delivery covers instructor travel; other counties and weekend sessions are quoted separately. Companies with 30 or fewer staff can apply for MOEA subsidies, up to full reimbursement.
Yes, and that is how we normally run it. The 49 course modules work like building blocks: we start from the role and duration bundle, then rebuild the exercises around your real reports, lists or proposals so the output is usable straight away.
Either works, but we strongly recommend on-site. On-site is hands-on with one laptop per person, and the instructor can see who is stuck and fix it on the spot — the difference in outcomes is clear. Online runs over video with screen sharing, which suits multi-site teams or managers sitting in.
Usually in your own meeting room or computer lab, with our instructors coming to you. We are based in Taoyuan and cover Taipei, New Taipei and Hsinchu; for other cities please check availability with us first.
Tell us who you are, roughly how many people, and what you want to learn, and we will send a suggested course plan.
In-house training or a private class, priced by headcount; digital-transformation subsidies apply.
Talk to usDepartment courses, micro-credits, general lectures and civil-service training. We can follow your school's or agency's speaker rates.
Talk to usPay what your club can. We see it as our social responsibility, so we will work out the cost together.
Talk to us