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Mini Crates ๐Ÿ“ฆ

AI & Machine Learning from the ground up. No PhD required. No baby talk either.

11 crates ยท 3 difficulty tracks ยท ~2.5 hours total ยท 100% free

Choose Your Path

๐ŸŒฑStarter
Crates 1โ€“3

Zero assumptions. Start here if AI is new to you.

๐Ÿ”งBuilder
Crates 4โ€“7

Neural nets, vision, language, and hands-on training.

๐Ÿ—๏ธArchitect
Crates 8โ€“11

Ethics, generative AI, and the frontier. You're building the future.

Your Progress

0 / 11 completed
๐ŸŒฑ Starter๐Ÿ”ง Builder๐Ÿ—๏ธ Architect

All Crates

๐Ÿค–#1
What Even Is AI?๐ŸŒฑ Starter~12 min

Spoiler: it's not a robot uprising (yet)

introductiondefinitionshistory
๐Ÿง #2
How Machines Learn๐ŸŒฑ Starter~15 min

Teaching rocks to think, one number at a time

machine-learningtrainingdatarequires: what-is-ai
โ›ฝ#3
Data โ€” The Fuel of AI๐ŸŒฑ Starter~12 min

Garbage in, garbage out (seriously)

datadatasetsbiasprivacyrequires: how-machines-learn
๐Ÿ•ธ๏ธ#4
Neural Networks โ€” The Brain Factory๐Ÿ”ง Builder~18 min

Inspired by brains, powered by math

neural-networksneuronslayersdeep-learningrequires: how-machines-learn
๐Ÿ‘๏ธ#5
Computer Vision โ€” Teaching Machines to See๐Ÿ”ง Builder~15 min

Pixels, patterns, and why Snapchat filters work

computer-visionimagesCNNrecognitionrequires: neural-networks
๐Ÿ’ฌ#6
Natural Language Processing๐Ÿ”ง Builder~18 min

How AI learned to read, write, and roast your grammar

NLPlanguagetexttransformersLLMrequires: neural-networks
๐Ÿ‹๏ธ#7
Training Your Own AI๐Ÿ”ง Builder~20 min

From zero to model in (many) easy steps

trainingpracticalpythoncodingrequires: data-the-fuel, neural-networks
โš–๏ธ#8
AI Ethics โ€” The Hard Questions๐Ÿ—๏ธ Architect~15 min

Power, bias, and who gets to decide

ethicsbiasfairnessresponsibilitysafetyrequires: data-the-fuel
๐ŸŽจ#9
Generative AI โ€” The Creator๐Ÿ—๏ธ Architect~18 min

When AI stops analyzing and starts creating

generativediffusionGANsartcreativityrequires: neural-networks, nlp-language
๐Ÿš€#10
AI Agents & The Future๐Ÿ—๏ธ Architect~20 min

From chatbots to autonomous agents โ€” and what comes next

agentsAGIfutureautonomousreasoningrequires: nlp-language, generative-ai
๐Ÿงต#11
RAG vs. Long-Context๐Ÿ—๏ธ Architect~16 min

When retrieval helps, when it hurts, and why bigger context changed the stack

raglong-contextprompt-cachingretrievalarchitecturerequires: nlp-language, agents-and-the-future

๐Ÿ“– Mini Crates is a free, open curriculum. Start anywhere, but we recommend going in order.

Written for curious minds who want real explanations โ€” no jargon, no hand-waving, just how AI actually works.

๐Ÿ“– Glossary โ€” all key terms in one place