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A football on a floodlit pitch
🎓 Free beginner course · No experience needed

Predict the World Cup with AI

Start from absolute zero and learn the models that put a real number on "who wins": logistic regression, decision trees, clustering, and neural networks. Nine lessons packed with games you actually play, a certificate worth 100 XP when you finish, and a live challenge to predict real World Cup 2026 matches.

9LESSONS
~5 hrsTO COMPLETE
20+INTERACTIVES
100XP + CERTIFICATE
Start Lesson 1 →

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🎓 Lectures: start at Lesson 1 📝 Quiz + certificate 🏆 Project: predict the World Cup
← Week 1: What is AI? Week 3: Finance AI →
Who this is for

Never touched AI before?
You are exactly who we built this for.

You do not need any maths beyond what you already do in school, and you do not need to know how to code. Every idea starts from a football example you already understand, then we slowly connect it to the real formula and the real Python. If you can follow "the better team usually wins, but not always," you can follow this whole course.

What you will be able to do
🎯

Explain what a machine learning model actually is, in plain words.

📈

Read the logistic regression formula and work out a win probability by hand.

🌳

Walk a decision tree and calculate a Gini score to judge a split.

🧩

Group teams with clustering, a model that needs no answer key.

🧠

Fire a neural network and see how it stacks features into layers.

🥅

Predict where a penalty will go using real placement data.

🐍

Read and reorder real Python, run charts, and train the models.

☁️

Open Google Colab and run your first notebook for free.

🔮

Predict real World Cup 2026 matches and say which model you used.

🎓

Earn a downloadable certificate and 100 XP for finishing the whole course.

The 9 lessons

Work through them in order.

Each lesson builds on the one before. Start at the top. You can always come back, your place is saved.

Lesson 1

How machines learn

Data, features, labels, and what "a model" really means. The whole vocabulary, from zero.

🕒 15 minStart →
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Lesson 2

Logistic regression

Turn any match into a win probability with the S-shaped sigmoid curve. Formula, worked example, and a guess-the-odds game.

🕒 30 minStart →
Lesson 3

Decision trees

Predict by asking smart yes/no questions in order. Learn how a tree picks each question with Gini.

🕒 30 minStart →
Lesson 4

Clustering

Group teams by their style with k-means, the model that finds patterns with no answer key at all.

🕒 18 minStart →
Lesson 5

Neural networks

The model behind the fancy AI. Slide and select features, then fire a signal through the layers.

🕒 20 minStart →
Lesson 6

Penalty prediction

Where will the ball go? Use real placement data to call the corner, then take penalties yourself.

🕒 18 minStart →
Lesson 7

Python in your browser

The same formulas as a few lines of code, with fill-in-the-blank and drag-and-drop games, plus a full logistic regression solution.

🕒 40 minStart →
Lesson 8

Google Colab

Run Python for free in your browser, no installing anything. Your first real notebook, step by step.

🕒 20 minStart →
Lesson 9

Final quiz, certificate + predict

Prove it with a 10-question quiz, download your certificate worth 100 XP, then lock in your picks for the real quarterfinals.

🕒 30 minStart →
⚽ Why football?

Because you already have an expert's intuition for it. You know a stronger team usually wins but sometimes loses, that home advantage is real, and that recent form matters. Machine learning is just a way to turn that intuition into numbers a computer can use. And right now it could not be more real: two Caribbean nations, Curaçao and Haiti, are playing in their first World Cup in decades, and the quarterfinals kick off today.