An intuitive grasp of probability
Statistics
Students build a feel for sampling and distributions by running their own simulations.
AI School Hong Kong香港 AI 教育
AI lessons for students and adults, taught by an AI engineer.
Small classes and 1:1 lessons where students build real projects and adults learn practical AI workflows they can use in their own work.
What this is定位
A small AI school with serious technical teaching.
AI School Hong Kong teaches students and adults to think with AI, build with AI, and judge AI outputs clearly. The work is practical, but it is never reduced to prompt shortcuts.
Student classes build foundations, technical confidence, and portfolio habits. Adult coaching turns AI into working agents, workflows, and decision support around professional goals.
Our approach教學理念
English is the new programming language.
At AI School, students learn agentic engineering: directing AI to write code through clear language and the right context, then reading the result carefully.
Students leave able to make working software they could not have written by hand, with the taste to know when AI is wrong and the habit of giving it the kind of brief it can act on.
For students and adults學生及成人
Where do you fit?
01 / For ages 10 to 18
Students 10+
學生課程（10 歲以上）
Structured projects, small cohorts, and clear progression. Students learn to specify, build, test, and explain their own work, building towards a portfolio and university preparation.
The path
- AI Foundations for ages 10 to 13
- Teen AI Studio for ages 14 to 18
- University preparation and portfolio work
Adults & Executives
成人及管理層課程
Private coaching and workshops for people who want a working system: an agent, a workflow, a research assistant, or an executive dashboard around their own work.
The pathways
- AI Entrepreneur
- AI for Finance
- AI Assistant
Verified credential
Meet the instructor認識導師
Johannes Janousek
AI Engineer and Data Scientist
- 01MSc Data Science & Statistics, King's College London, specialising in AI and machine learning.
- 02Former data scientist at an award-winning New York macro hedge fund.
- 03Years in the Hong Kong and Berlin startup scenes, turning AI ideas into working products.
- 04Builds agents and models with Python, PyTorch, Hermes, OpenClaw and teaches the same craft he practises.
Background
Examples from class課堂片段
A few things students learn and build.
The fundamentals of agentic engineering
Agents
Tools, memory, and the judgement calls that turn a model into something genuinely useful.
A study-buddy agent that's actually curious
Project
Built to help a child explore new topics by asking better questions, while the homework stays theirs.
Start a conversation開始對話
Tell us the goal. We'll suggest the path.
Trials, coaching calls, workshops, or a private executive enquiry.
Talk on WhatsApp
A short, low-pressure conversation. No forms.