A hands-on course in AI and neural networks

Build an AI stock predictor. Then find out if it actually works.

Go from high-school math and a little Python to a working LSTM model in 8 modules. Learn the math by playing with it, let AI write code for you, and learn to test it like a professional. Everything runs in your browser.

Start Module 1 freeSee the curriculum
About 37 hours, self-pacedNo installNot financial advice

Every module mixes four ways to learn

Lecture

Short lessons and slides. No jargon without a picture.

Discover

Playful widgets: drag a neuron's weights, spot a data leak, beat a coin flip.

Quiz

8 to 10 questions with explanations. Retake as often as you like.

Lab

Real Python notebooks in the page. Each lab adds a part to your predictor.

8 modules, one predictor

Each lab builds a piece you reuse in the final project.

  1. 01 · 4 h

    Python for AI

    NumPy, pandas and plots. Load real prices and chart a moving average.

    Discover: Array Arcade
  2. 02 · 6 h

    Neural network math

    From the slope of a line to backpropagation. Build a network from scratch.

    Discover: Neuron Playground
  3. 03 · 3 h

    Setting the goals

    What to predict, how to score it, and the baselines you must beat.

    Discover: Beat the Coin
  4. 04 · 5 h

    Preparing data

    Clean, scale and window time series without peeking at the future.

    Discover: Spot the Leak
  5. 05 · 4 h

    Writing code with AI prompts

    The spec-first prompt. Get AI to write code you can understand.

    Discover: Prompt Duel
  6. 06 · 4 h

    Verifying the code

    Tests, sanity checks and leak detectors for AI-written code.

    Discover: Bug Hunt
  7. 07 · 6 h

    Building an LSTM

    Memory with valves. Build one LSTM cell, then train a full model.

    Discover: Memory Valves
  8. 08 · 5 h

    Capstone

    Your own forecaster, tested fairly and published with a model card.

    Discover: Forecast Week
Final project

My Stock Forecaster

Pick a stock, build an LSTM that predicts its next-day move, and prove with a fair test whether it beats simple guesses. Then lock in five real predictions during Forecast Week.

You pass by testing honestly, not by getting rich. A model that loses to the baseline but tells the truth passes. One that "wins" by peeking at the future doesn't.

What you hand in

  • A notebook that runs top to bottom, every time
  • A goal card: target, horizon, metric, baselines
  • Results on 12 months your model never saw
  • A one-page model card with an honest verdict
  • A prompt log of AI code you checked and fixed
  • Five Forecast Week predictions

Pass mark 70/100 · Bonus badge for beating the baseline