μ BY VIZUARA
Learn AI, one concept at a time.
μ is a library of visualized micro-lessons. Each one distills a dense AI concept into two minutes you can actually follow, then a quick quiz checks it stuck. Watch one, answer one, come back tomorrow.
Every lesson curated by Ph.D.s from
2 min
per lesson
Weekly
new lessons land
One
subscription covers it all
12-day streak
Correct. It clicked.
Hear from Dr. Sreedath Panat (MIT PhD)
Why mu exists
Only what matters in AI, one small idea at a time
You hear a term. RAG, LoRA, KV cache. It sounds like jargon, so you nod along or lose an evening piecing it together. But learning always starts with the one small idea behind the word.
AI is thousands of these micro concepts. mu distills each to its clearest, smallest form, two minutes to learn, until the whole field stops looking like a wall and starts looking like a map.
One subscription covers every concept we have now, and every one we add next.
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 holds together.
The library keeps growing
AI moves fast and the library moves with it. New micro concept videos land continually, every week.
One subscription covers it all
Your subscription is the whole library: every course today, plus every new lesson the moment it goes live.
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
A growing shelf of short courses covers 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, properly visualized.
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.
Browse the library
A few of the micro-courses on the ideas that matter in AI, from tokens to agents. The shelf keeps growing: new lessons and new courses land every week. Some courses are completely free, and every course starts with free lessons.
by VizuaraFree courseLLMs from 30,000 feet
What a large language model actually is, from next-word prediction to why it makes things up.
9 lessons · 9 live
by VizuaraFree courseRAG and retrieval
How AI answers from your documents instead of its memory.
8 lessons · 8 live
by VizuaraFirst lessons freeNeural networks from scratch
What a neuron, layer, and activation really do.
15 lessons · 15 live
by VizuaraFirst lessons freeDeep learning's greatest hits
CNNs, RNNs, autoencoders: the road that led to transformers.
15 lessons · 15 live
by VizuaraFirst lessons freeVision transformers
Patches as tokens, attention on images, why ViT beat CNNs at scale.
15 lessons · 15 live
by VizuaraFirst lessons freeHow machines see
Classification to segmentation to detection, plus modern VLM vision.
15 lessons · 15 live
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 per lesson. Whole starter courses are free, and you do not need a card.
Start learning free