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AI knowledge.

A fresh concept each day, plus free learning material worth your time

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🎓

The standout free courses

If you are just starting, start here
Elements of AIKorean
The gentlest introduction to AI for non-specialists, made by the University of Helsinki
elementsofai.com→
Andrew Ng · Machine LearningFree to audit
The canonical machine-learning introduction. Lectures and assignments are free in audit mode
coursera.org→
fast.ai · Practical Deep LearningFully free
A hands-on deep learning course that has you build with code first
course.fast.ai→
Google ML Crash CourseKorean
A 15-hour crash course in machine learning, written by Google engineers
developers.google.com→
Hugging Face CoursesFully free
Official, practice-first courses covering NLP, RL, audio, vision and LLMs
huggingface.co→
MIT 6.S191 Deep LearningFully free
MIT's popular deep learning bootcamp — videos and slides published in full every year
introtodeeplearning.com→
📺

YouTube channels

For people who learn faster by watching
3Blue1Brown · Neural Networks
Superb visual explanations of neural networks, backpropagation and transformers
youtube.com→
Karpathy · Zero to Hero
An OpenAI co-founder building GPT line by line and teaching as he goes
youtube.com→
StatQuest
Statistics and machine learning concepts, complete with jingles. "Bam!"
youtube.com→
Two Minute Papers
New AI papers explained in two to five minutes. "What a time to be alive!"
youtube.com→
Deep Learning for Everyone (모두를 위한 딥러닝)Korean
A Korean-language introduction to deep learning by Prof. Sung Kim of HKUST
youtube.com→
TeddyNote (테디노트)Korean
Patient, practical Korean-language walkthroughs of LangChain, RAG and LLM work
youtube.com→
🛠️

Hands-on practice

Reading sticks less than running it yourself
Kaggle Learn
Around thirty micro-courses of four to five hours, practised straight in a notebook
kaggle.com→
Microsoft · AI for Beginners
A 12-week curriculum from Microsoft, with every resource published on GitHub
microsoft.github.io→
Generative AI for Beginners
Generative AI in 21 lessons, with both Python and JavaScript tracks
github.com→
DeepLearning.AI Short Courses
Short one- to two-hour courses on LLMs, RAG and agents, all free
deeplearning.ai→
Naver boostcourseKorean
Free Korean-language AI and coding courses from the Naver Connect Foundation
boostcourse.org→
Google Colab
Python and deep learning practice on a free GPU in the browser, nothing to install
colab.research.google.com→
📚

Books and long reads

Classics you can read free on the web
Deep Learning Book
Ian Goodfellow's canonical deep learning textbook, published free in full as HTML
deeplearningbook.org→
Dive into Deep Learning
An interactive book where code, maths and explanation sit on one screen together
d2l.ai→
Anthropic · Transformer Circuits
A research series digging into how the inside of a transformer actually works
transformer-circuits.pub→
Distill.pub
Machine learning papers retold through visualisation. Each one is a small work of art
distill.pub→
Jay Alammar's Blog
"The Illustrated Transformer" and the rest of the illustrated LLM series
jalammar.github.io→
Lil'Log (Lilian Weng)
Long, deep write-ups from a former OpenAI researcher: RLHF, agents, probabilistic models
lilianweng.github.io→
🏫

Full Stanford and MIT courses

If you want to go deeper
Stanford CS229
Andrew Ng's original machine learning course. Notes and videos all public
cs229.stanford.edu→
Stanford CS231n
The bible of computer vision and CNNs — the course Karpathy built
cs231n.stanford.edu→
Stanford CS224n
NLP with deep learning. The standard treatment of transformers and LLMs
web.stanford.edu→
Stanford CS324 · LLMs
A course devoted to large language models: theory, data, evaluation and social impact
stanford-cs324.github.io→
👉 A suggested route: new to AI, go Elements of AI → Google ML Crash Course → fast.ai. Already comfortable with code? The fastest path is Karpathy's Zero to Hero straight through, building GPT yourself.