Course guide
A route into our Chinese-language course reviews and comparisons.
Our short answer
For a structured free path in Chinese, Datawhale’s tutorials are the most practical entry. Li Hongyi’s recorded lectures are the strongest theory option. PKU’s AI principles course suits learners who want a university-framed overview. All three are covered in our Chinese-language reviews.
Use the full reviews below to compare fit, workload, and current course details before you choose.
National Taiwan University (NTU) — Prof. Hung-yi Lee
Best for: Chinese-speaking learners who want the friendliest on-ramp to deep learning and modern LLM concepts, and anyone who prefers 'understand the principles' over 'memorize the tooling'
Peking University — Prof. Wang Wenmin (Chinese University MOOC / XuetangX)
Best for: Chinese-speaking CS undergrads and self-learners who want a rigorous classical-AI foundation (search, reasoning, planning, learning), and anyone who wants bilingual Chinese-English AI terminology
Datawhale open-source learning community
Best for: Chinese-reading students and career changers who want to learn AI/LLMs at zero cost — especially people who want to build an LLM from scratch (happy-llm) or survive the Watermelon Book's math (Pumpkin Book)
Reviews on this page verified 2026-08-22; each links its own dated sources.