Neurocourse
🧠Free

Neural networks for beginners

A free neural-networks course for beginners: 75 years of AI history from Turing to ChatGPT, how neural nets and LLMs learn, why AI needs data, what it can and can't do, where hallucinations come from, your first prompt, data privacy, copyright on AI output, ethics and bias. 18 lessons, no maths or code, auto-checked tasks, certificate.

⏱ 3 h📅 1–2 wk📚 12 lessons✅ 36 tasksBeginnerPrerequisites: none
Start the course for free →No sign-up, no card
Part 1 of 3of the free track “AI kick-start”Next part: ChatGPT: quick start →

Course programme

All lessons in order: history → how it works → practice.

Module 1 · The big story— 3 lessons · 9 tasks

  1. 1
    75 years in 15 minutes: from Turing to ChatGPT
    ~6 min
  2. 2
    Why it matters now: numbers and forecasts without the panic
    ~6 min
  3. 3
    What artificial intelligence actually is
    ~6 min

Module 2 · Under the hood— 5 lessons · 15 tasks

  1. 4
    How a neural network learns: from the perceptron to billions of weights
    ~6 min
  2. 5
    LLMs and tokens: how a machine writes text
    ~6 min
  3. 6
    Why models keep getting better: what actually changes between versions
    ~6 min
  4. 7
    Data — the fuel of AI: why data is what decides
    ~6 min
  5. 8
    What AI can and can't do: honest boundaries
    ~6 min

Module 3 · First steps— 4 lessons · 12 tasks

  1. 9
    Your first prompt: instructing AI
    ~6 min
  2. 10
    Privacy and safety: what you can and can't put into AI
    ~6 min
  3. 11
    Copyright: who owns the text, image and code the AI made
    ~6 min
  4. 12
    AI ethics and bias: why it can be unfair and how to spot it
    ~6 min

Course practice

Tasks unlock as you go through lessons. Finish the first one and they'll show up here.