Course curriculum

    1. Welcome! 🌞

    2. Let's Get To Know You📝

    1. 🔎How do Machines Learn?

    2. 🧠Challenge: Teach a Machine to Make a Decision

    3. 📈Types of Machine Learning Tasks

    4. 🧠Challenge: Match the Problem to the ML Task

    5. 🧩Chapter Quiz: How do Machines Learn?

    6. Survey - How do machines learn?🌟

    1. 🏎️Regression in the Real World: Formula One Performance

    2. 🧠Challenge: Build Your First Neural Network (no-code)

    3. 🛠️Supervised Learning in F1

    4. 🍰Multi-Layer Perceptron

    5. 🧠Challenge: Build an MLP with Python

    6. ⚡Why the MLP Model Is So Powerful

    7. 🌠The Universal Approximation Theorum

    8. 🧩Chapter Quiz: Neural Networks

    9. Survey - Neural Networks🌟

    1. You've completed the course!🌟

    2. Tell Us About Your Experience 🙏

About this course

  • £24.99
  • 19 lessons
  • + 2 Hours
  • Intermediate Level
  • Certificate Included

COURSE OVERVIEW

Tools You Need

  • Laptop/Computer
  • Internet Connection
  • Browser
  • Google Colab

What you'll learn

  • How to identify different types of machine learning: classification, clustering, regression & dimensionality reduction

  • Understand what neural networks are and how they mimic the human brain.

  • Identify how data is used to train AI to make predictions.

  • Think critically about applying AI systems in the real world.

Your AI Journey Starts Here

  • Earn a Certificate

    Show off your AI skills with a certificate upon completion, perfect for boosting your portfolio or college applications!

  • Hands-On Projects & Activities

    Apply what you learn through fun, interactive projects that build real-world experience.

  • Learn at Your Own Pace

    Enjoy flexible, self-paced learning with 1 year of access to all course materials, so you can study anytime, anywhere!

CREATE THE FUTURE

Build the Foundations of Modern AI

Deep learning powers everything from ChatGPT to self-driving cars, but very few people actually understand how it works.

In this course, you’ll learn what’s happening inside neural networks, how machines learn from data, and why deep learning can solve problems humans can’t. You’ll build models, experiment with real data, and think like an AI engineer, not just an app user.

Take the Course

Meet Your Instructor

Dr. Pete Husemeyer

Chief Innovation Officer + Co-Founder, Sportable

Pete is passionate about sports, technology and engineering. Before co-founding Sportable in 2016, Pete completed engineering degrees in Mechanical Engineering, Computational Mechanics and Nuclear Engineering, including a PhD in Space Nuclear Engineering from Cambridge University. While at Cambridge, Pete spent four years working for NASA Marshall Space Flight Centre and the Centre for Space Nuclear Research based at Idaho National Labs. He now applies his passion for sports and problem-solving as Chief Innovation Officer and member of the board for Sportable.

Frequently Asked Questions

  • Who is this course for?

    This course is for teens who are curious about how AI really works, not just how to use it. If you enjoy maths, problem-solving, technology, or understanding systems, this course is for you.

  • Do I need prior coding experience?

    No. You don’t need to be a programmer to start. Concepts are explained clearly, and the additional coding resources challenges are optional to this course.

  • What tools do I need to participate?

    You will need a good internet connection and a laptop/PC.

  • What will I actually learn?

    You’ll learn:
    How neural networks work
    What a Multi-Layer Perceptron is
    Why activation functions matter
    How models learn patterns from data
    Why deep learning can model complex real-world systems

  • Who should I contact if I have more questions?

    For more information, please contact Alanna at [email protected]

More Courses for You

View more products