Understanding AI
Go deeper than the buzzwords — genuinely understand how AI learns, thinks, predicts, and where it fails. 9 dense lessons, each with a LIVE interactive animation embedded right in the page. No maths, no coding.
AI Intro Series · Part 2 of 6
This is part of an ordered path — best taken in sequence, from Part 1.
Who it's for
Anyone who wants to truly understand how AI works under the hood — no maths or coding, just clear explanations paired with live interactive visuals.
What you'll learn
- Understand how AI learns patterns from examples, not rules
- See what a neural network really is — weighted connections that learn
- Grasp how AI is trained, reads in tokens, and predicts the next chunk
- Understand embeddings — how AI represents meaning as a map
- Know why AI leapt forward (scale) and where it fails (hallucinations, bias, memory, cut-off)
- Trust and use AI wisely, because you understand how it actually works
Course contents
- 01How AI learns
- 02Inside the "brain" (neural networks)
- 03How AI is trained
- 04How AI reads & predicts
- 05Meaning is a map (embeddings)
- 06Why AI got so good, so fast
- 07Why it makes things up (hallucinations)
- 08Bias, memory & no live knowledge
- 09You understand AI now