Learn · Pathway
Classic ML foundations
Before the transformers — the workhorse algorithms every data scientist knows, hands-on: regression, classification, clustering and learning by gradient descent.
- 1 Linear Regression Interactive demo
- 2 k-Nearest Neighbours Interactive demo
- 3 Decision Trees & Gini Interactive demo
- 4 k-means Clustering Interactive demo
- 5 Neural Net Trainer Interactive demo
- 6 Video · 3Blue1Brown
- 7 Gradient Descent Interactive demo
- 8 Video · 3Blue1Brown
Other pathways
How an LLM works, end to end
17 stepsThe flagship journey — from raw text to a grounded answer. Interactive demos interleaved with the best explainer videos, in learning order.
See pathway →AI for the curious
9 stepsNo maths degree required. A gentle, visual path from “what is a neural network?” to how modern AI writes and reasons.
See pathway →For decision-makers
8 stepsThe concepts behind responsible enterprise AI — what LLMs and RAG are, where bias and fraud trade-offs bite, and how to size up your own adoption.
See pathway →Responsible & safe AI
7 stepsbigspark's specialism, made hands-on. Why safety matters, then the real enterprise trade-offs — prompt-injection guardrails, bias and fairness, fraud thresholds — and the alignment ideas behind them.
See pathway →