About

aicourse.top is a free, open course in agentic engineering, built by educational-technology researchers who work on how people actually learn.

Course creator

Educational researcher · Application developer

Dr. Peter HU Dongpin

CEO and Founder, PedaNova Ed-Tech · Developer of 3D ENA 2.0

Dr. Hu holds a PhD in Educational Technology from the University of Hong Kong and a BSc in Computer Science (machine learning and artificial intelligence) from the University of London. He builds theory-informed learning environments and analytical tools that connect educational research to working technology, and publishes in journals ranked among the top ten in Education and Educational Research by Web of Science. He wrote this course.

  • Technology-enhanced learning
  • Learning analytics
  • AI in education
  • Application development

Elsewhere hudongpin.comPedaNova3D ENAGitHub

Advisory team

Researchers whose work shapes how this course is designed and evaluated.

Chair Professor · Educational Technology

Prof. Gwo-Jen Hwang

National Taichung University of Education

Prof. Hwang works on technology-enhanced learning: mobile and ubiquitous learning, game-based and flipped approaches, and artificial intelligence in education. His research links intelligent learning design to evidence-based teaching and assessment.

  • AI in education
  • Mobile and ubiquitous learning
  • Game-based learning
  • Flipped learning

Elsewhere 3D ENA

Assistant Professor · Educational Technology

Dr. Yun-Fang Tu

National Taiwan University of Science and Technology

Dr. Tu studies how generative AI and digital learning shape what learners perceive, do and achieve. She combines educational data mining, visual and network analysis, and mobile-learning research to make the process of learning visible enough to act on.

  • Generative AI in education
  • Digital and mobile learning
  • Educational data mining
  • Network analysis

Elsewhere 3D ENA

Quantitative ethnography · Application development

Mr. YU Jianxing

3D ENA Research Group, Hong Kong · BSc Computer Science, MA Psychology

Mr. Yu brings together computer science and psychology to build interactive tools for epistemic network analysis and quantitative ethnography. He is the lead developer of 3D ENA 1.0, and applies network analysis to political discourse and social-media data.

  • Epistemic network analysis
  • Quantitative ethnography
  • Political discourse
  • Research software

Elsewhere 3D ENA

Why this course exists

Most material on building with AI is written for people who already build software. That leaves out almost everyone who will have to work alongside these systems — teachers, students, analysts, anyone curious.

So this course starts from the only question that matters and never assumes you have written code before: every program is a list of steps, and the whole subject is who picks them. It is free, open source and translated into nine languages, because a paywall in English serves the people who need it least.

How it is built

Every claim in the course is something you can run yourself. The eval suite is real, the agent loop is real, and the numbers you see are the numbers your own key produces.

The whole thing is MIT licensed and public. If something here is wrong, the fix is a pull request away.