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How AI Really Works: Neural Networks Without Maths

Demystify the inner workings of AI by intuitively understanding neural networks and deep learning, all without a single equation.

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(8,000)
8,000 studentsEnglish

Created by Jordan Kim · Productivity Coach

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This course includes

  • 17 video lessons
  • 4h 9m of content
  • Downloadable resources
  • Full lifetime access
  • Certificate of completion
  • 30-day money-back guarantee

What you'll learn

  • Intuitively understand the basic components of an artificial neural network.
  • Grasp how data flows through a network and transforms into a prediction.
  • Explain what "learning" means in the context of AI and neural networks.
  • Identify the roles of weights, biases, and activation functions without mathematics.
  • Understand the conceptual process of how a neural network adjusts its "knowledge."
  • Distinguish between different types of neural networks by their high-level function.
  • Appreciate the role of training data in shaping an AI model's behaviour.
  • Develop a strong conceptual framework for interpreting AI decisions and limitations.

About this course

Ever wondered what's truly going on inside AI models like ChatGPT or the systems that recognise faces in photos? This course pulls back the curtain on neural networks – the beating heart of modern AI – without requiring you to dust off your calculus textbook. We believe that a conceptual understanding of how AI works is essential for everyone, whether you're a developer, a manager, or just intensely curious about the technology shaping our world. We’ll break down complex ideas into simple, relatable analogies and visual explanations. You'll grasp how artificial neurons process information, how layers of these neurons form powerful networks, and fundamentally, how these systems "learn" from data. We focus on intuition, not derivations. You'll finally understand terms like "weights," "biases," "activation functions," and "backpropagation" in a way that sticks, without ever seeing a Greek letter. This isn't just theory for theory's sake. Understanding these core mechanics will help you interpret AI's behaviour, appreciate its limitations, and critically assess its capabilities. You'll gain a powerful mental model for how these intelligent systems arrive at their decisions, helping you move beyond treating AI as a magical black box. Join us to build a solid, math-free foundation in how AI truly works. You'll emerge with a clearer picture of artificial intelligence, empowered to have more informed conversations and make better decisions in an AI-driven landscape.

Course content

5 modules · 17 lessons · 4h 9m

  • Neural Networks: AI's Secret Sauce (The Big Picture)Preview
    10m
  • From Data to Decision: The Journey of InformationPreview
    14m
  • Why "Neural"? Inspiration from Biology, Not Replication
    9m

Requirements

  • Basic computer literacy.
  • No prior knowledge of AI, programming, or advanced mathematics is required.
  • A curious mind and a willingness to explore abstract concepts.

Your instructor

J

Jordan Kim

Productivity Coach

Jordan teaches knowledge workers how to get their time back with AI.