Learning Journey

Demystifying AI

How today's AI actually works, from the big picture to the math underneath.

Chatbots, image generators and recommendation feeds all run on the same few ideas. This journey starts with what AI is (no math), then builds the math those ideas need, one small concept at a time: functions, vectors, slopes and probability, then neurons, training and finally how a language model writes an answer. A quick placement check skips what you already know, and the journey keeps spotting gaps as you go.

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The map

Each concept builds on the ones before it. Open any step to read it, watch the videos and ask your tutor.

Stage 1 · no math
The big picture
What AI is, how it learns from examples, and what happens when you use it. No math.
Stage 2
Foundations
The math building blocks: functions, exponents, vectors and the dot product.
Stage 3
Change and chance
Slopes, the chain rule, probability and averages: the math of learning and of uncertainty.
Stage 4
Learning machines
How neural networks are built and trained, from a single neuron to backpropagation.
Stage 5
Language models
How chatbots turn text into tokens and tokens into answers, and why they sometimes make things up.

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