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Tokenline

Line 1 · How machines learn from data

AI Fundamentals

Find out what AI actually is, how machine learning turns examples into predictions, and why large language models sound so fluent — and still make mistakes.

  • About 41 minutes
  • 300 lesson XP
  • 5 interactive labs
6 lessons
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  1. What Is Artificial Intelligence?

    Sort out what AI, machine learning, deep learning and generative AI actually mean — and what AI is not.

    Not started
    • 6 min
    • +50 XP

  2. Machine Learning Basics

    See how computers learn from labeled examples, and how a trained model makes predictions about things it has never seen.

    Not started
    • 7 min
    • +50 XP
    • Lab: Train a Classifier

  3. Training Data: You Are What You Learn From

    Discover why the amount, quality and variety of training data decide how well — and how fairly — a model works.

    Not started
    • 6 min
    • +50 XP
    • Lab: Data Diet

  4. Neural Networks, Conceptually

    Build intuition for how artificial neurons weigh inputs, stack into layers, and learn by adjusting their weights.

    Not started
    • 8 min
    • +50 XP
    • Lab: Build a Neuron

  5. Generative AI & Large Language Models

    Look inside chatbots: how text becomes tokens, how models predict the next token, and why fluent doesn't mean correct.

    Not started
    • 8 min
    • +50 XP
    • Lab: Token Vision
    • Lab: Next-Word Predictor

  6. Strengths & Limits of AI

    Learn where AI shines, where it breaks, and why people stay responsible for how it's used.

    Not started
    • 6 min
    • +50 XP