AI for Everyone: Understanding AI Without Code

Understand what AI is, how it learns from examples, where it helps and where it fails, and train your own image classifier in a browser, with no code at all.

Beginner · Machine Learning · about 8.5 hours · 4 modules · certificate on completion

Taught by Lasse Mäkìnen, Kwamé Asantè, AI Learning Companions.

About this course

AI is in your phone, your inbox and your workplace, and in the news every day. This course explains what it really is, without code or equations. You'll learn what artificial intelligence, machine learning and deep learning mean, how a machine learns from examples, and why a model is only as good as the data it learned from. Then you'll see it for yourself: in the first lab you train an image classifier in your browser with Teachable Machine, and later you set out to break it, finding the lighting, backgrounds and objects that fool it and fixing them with better data.

Along the way you'll put a chat assistant such as Claude to work on realistic tasks and check its answers fact by fact, learn where AI goes wrong (made-up facts, bias, overconfidence, privacy and deepfakes), and practise reading AI headlines and accuracy claims with a sceptical eye. The course ends with a decision brief on a real AI tool, the kind of clear, balanced advice a manager, a teacher or a community group can act on.

What you'll learn

  • Explain what AI, machine learning and deep learning are, and how a machine learns from examples
  • Train an image classifier in your browser with Teachable Machine, and test where it fails
  • Use a chat assistant on everyday work tasks and check what it tells you
  • Recognise AI's limits and risks, from made-up facts and bias to privacy and deepfakes
  • Read AI news and product claims critically, including what accuracy figures really mean

Skills you'll gain

AI literacy, Machine learning concepts, Generative AI, Using chat assistants, Testing AI systems, AI risks and bias, Judging AI claims

Tools

Teachable Machine, Claude or another chat assistant

Before you start

None: no coding, and no maths beyond percentages. You need a computer with an up-to-date web browser, such as Chrome or Firefox, and a webcam (or a few photos on your computer), plus a free account with a chat assistant such as Claude.

Modules

  1. What AI is, and how machines learn

    Get clear on what AI, machine learning and deep learning mean and how a machine learns from examples, then train your own image classifier in the browser.

    • AI, machine learning and deep learning (10 min)
    • How machines learn from examples (12 min)
    • Neural networks and deep learning, without the maths (10 min)
    • Hands-on lab: Train an image classifier in your browser

  2. AI in daily life and at work

    See where AI already works in everyday products and workplaces, how chat assistants produce their answers, and how to put one to work on a real task while checking what it gives you.

    • The AI you already use (10 min)
    • Generative AI and chat assistants (12 min)
    • AI at work: tasks, not whole jobs (12 min)
    • Hands-on lab: Put a chat assistant to work, and check its answers

  3. Limits and risks

    Learn why AI systems get things wrong, how bias gets into them and how to protect privacy and stay safe, then stress-test your own model to find where it fails and fix it with better data.

    • Why AI gets things wrong (12 min)
    • Bias and fairness (12 min)
    • Privacy, security and using AI responsibly (10 min)
    • Hands-on lab: Find where your model fails

  4. Reading AI news critically

    Learn the questions that cut through hype, what accuracy figures really mean and how to check sources and AI-made content, then put an AI press release under the microscope.

    • Hype, headlines and what's really new (10 min)
    • Making sense of accuracy claims (12 min)
    • Checking sources and AI-made content (10 min)
    • Hands-on lab: Put an AI press release under the microscope

Project: An AI decision brief

Choose an AI tool that is used, or being considered, in your workplace, school or community: for example a chat assistant for customer emails, a CV-screening service, a crop-disease app or a camera that counts visitors. Write a brief of about two pages, in plain language and without code, for the person who has to decide whether to use it. Explain what the tool does and what it learned from; try it, or a similar free tool, and record your tests, including ones designed to find where it fails; weigh its benefits against risks such as errors, bias and privacy; list the questions you would put to its maker; and end with a recommendation and the conditions that should come with it. You may use a chat assistant, but check everything it tells you and say where you used it.

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