Learning Paths

Don't know where to start? Pick a path — a curated sequence of courses designed to get you to a specific outcome.

Backend Developer

Pass a coding interview

20h

The algorithms and data structures every backend interview tests, from first principles to the point where you can whiteboard a solution and explain why it's optimal.

1Thinking in Algorithms0/16

2Data Structures0/14

3Logic & Deduction0/16

You can walk into a coding interview and solve algorithm problems with confidence.

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Understand AI

Know how ML actually works

18h

From a single neuron to backpropagation and overfitting — build the mental model that lets you read ML papers and understand what your model is actually doing.

1How Neural Networks Learn0/15

2Probability Foundations0/16

3Reading Data0/15

You understand neural networks deeply enough to read ML literature and debug models.

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CS Foundations

Core computer science in 15 hours

15h

The four pillars of CS: how to think in algorithms, how to structure data, how to reason logically, and how the hardware works beneath it all.

1Thinking in Algorithms0/16

2Data Structures0/14

3Logic & Deduction0/16

4Digital Circuits0/16

You have the core CS knowledge that a first-year university course teaches — but interactive.

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Data Literacy

Read data critically

16h

Learn to spot misleading charts, understand what a statistic actually means, and reason about uncertainty — the skills that separate data-literate thinkers from those who get manipulated by numbers.

1Reading Data0/15

2Probability Foundations0/16

3How Neural Networks Learn0/15

You can look at a chart or statistic and immediately see what it's hiding.

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