μ BY VIZUARA
Learn AI, one concept at a time.
μ is a library of animated micro-lessons, each followed by a quick quiz that checks you actually understood. Watch one, answer one, come back tomorrow.
2 min
per lesson
Weekly
new lessons land
One
subscription covers it all
12-day streak
Correct. It clicked.
What you walk away with
Speak the language
When someone says agents, RAG or test-time compute in a meeting, you will know exactly what they mean. And when they are bluffing.
See through the hype
Most AI headlines fall apart once you know how the models actually work. That knowledge is closer than you think.
A map of the whole field
Twelve short courses cover the whole territory: how models learn, why they fail, who pays for the GPUs.
Understanding that sticks
Every lesson ends with a question built around the mistake most people make. Get caught by it once and the idea stays with you.
Small enough to actually do every day
01
Watch
One concept, two minutes, animated properly. There is no padding to skip.
02
Answer
The moment the video ends, a question appears. It is tricky on purpose.
03
Return
Your streak is waiting tomorrow. A couple of weeks in, you notice you understand articles you used to skim past.
Why micro concepts?
Nobody understands AI in one sitting. The field is too wide, and it keeps moving. What works is stacking small, exact ideas: what a token is, why models hallucinate. Each takes two minutes to learn. Together they add up to a working understanding of the whole field.
Small ideas compound
Every micro concept connects to the ones before it. Tokens explain context windows, context windows explain cost. A few weeks in, the picture starts holding together.
The library keeps growing
AI moves fast and the library moves with it. New micro concept videos land continually, and the library grows every week.
One subscription covers it all
Your subscription includes the entire library: every course available today, plus every new lesson the moment it goes live. There is nothing extra to buy.
The library
Micro-courses on the ideas that matter in AI, from tokens to agents, and the shelf keeps growing: new lessons and new courses land every week. The first lessons of every course are free.
LLMs from 30,000 feet
What a large language model actually is, from next-word prediction to why it makes things up.
8 lessons · 8 live
Inside the transformer
The architecture behind modern AI, opened up piece by piece.
8 lessons · 8 live
Prompting that works
Get consistently better answers from any model, without superstition.
8 lessons · 8 live
AI agents
What happens when a model gets tools, memory and a goal.
8 lessons · 8 live
RAG and retrieval
How AI answers from your documents instead of its memory.
8 lessons · 6 live
How models are trained
From a trillion words to a helpful assistant, the whole pipeline.
8 lessons · in production
Reasoning models
Models that think before they answer, and what that buys you.
8 lessons · in production
Multimodal AI
How machines learned to see, hear and speak.
8 lessons · in production
Small language models
Why the future of AI is not only about bigger.
8 lessons · in production
Evaluating AI
How to tell if a model is actually good, beyond the demo.
8 lessons · in production
AI safety and alignment
The honest version of what could go wrong and what is being done.
8 lessons · in production
The AI industry map
Chips, labs, money and jobs: how the pieces fit together.
8 lessons · in production
Questions that catch you
Watching explains. Answering is what makes it stick. Every mu lesson ends with a question aimed at the exact spot where most people get it wrong. Try this one.
A rough rule says one token is about three quarters of an English word. A 1,000-word article is therefore closest to how many tokens?
Understand AI properly.
Two minutes a day. The first lessons of every course are free, and you do not need a card.
Start learning free