Learn · Pathway
AI for the curious
No maths degree required. A gentle, visual path from “what is a neural network?” to how modern AI writes and reasons.
- 1 Video · IBM Technology
- 2 Neural Net Trainer Interactive demo
- 3 Video · 3Blue1Brown
- 4 Gradient Descent Interactive demo
- 5 Video · 3Blue1Brown
- 6 Embeddings Explained Interactive demo
- 7 Attention, Visualised Interactive demo
- 8 Video · IBM Technology
- 9 How RAG Works Interactive demo
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 →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 →Classic ML foundations
8 stepsBefore the transformers — the workhorse algorithms every data scientist knows, hands-on: regression, classification, clustering and learning by gradient descent.
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