About AIOS Academy

An AI school for people who want to understand deeply and build for real.

AIOS Academy is built for learners who need to turn AI into professional capability: solid foundations, practical exercises, evaluation standards, and a community that moves forward together.

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240+curated documents and lessons
18Klearners following structured paths
4.9average learner satisfaction

The AIOS Story

AIOS was born from a simple question: why do Vietnamese founders work 80 hours a week when AI can already do 60% of that work?

After years of building and running AI Agent systems for his own business, Hoài Đỗ realized: knowing how to use AI is one thing. Building an AI Agent system that actually runs your business is something else entirely.

The People Behind AIOS

Hoài Đỗ
Founder · Trainer · Coach

Hoài Đỗ

Hoài Đỗ began his journey with AI not in a lab or a university — but from the real operational problems of a Vietnamese SME that needed to multiply its strength with limited resources.

After years of running and optimizing systems with AI, he realized: most AI tools teach Vietnamese people only how to "use" them — but no one guides them to build AI Agent systems that create real results for their own business.

That is why AIOS was born — and why Hoài Đỗ chose the role of AIOS Builder: someone who sits down with you, understands your business, and builds an AI Agent system that truly runs for you.

Ngô Khắc Hùng
Co-Founder · CTO

Ngô Khắc Hùng

Leads the technical architecture of the AIOS Platform — platform development, AI infrastructure, and technical roadmap.

AIOS Mission

Help 1,000 Vietnamese founders and solopreneurs break free from repetitive work — with real-world, personalized AI Agent systems built for each business.

Core Values

Real-World > Theory

Personalized > Templates

Empowerment > Dependence

Measurable Results > Promises

Philosophy

AI learning should not begin with a list of tools.

01

Foundations before prompts

Learners understand models, data, limitations, and evaluation before applying tools to real work.

02

Practice with context

Exercises mirror real situations: research, analysis, automation, product building, and result validation.

03

Edited, not collected

Each course is selected, ordered, and updated around a clear path so learners spend less time going the wrong way.

Content standard

Every lesson must answer: what am I learning this for, how do I apply it, and how do I measure the result?

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