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01 — Foundations

Before you can shape AI products, you need to understand what AI can do — and what it cannot.

This chapter won’t give you a computer science degree. It gives you the mental models to make informed product decisions.

  • How Large Language Models think (and why “think” is the wrong word)
  • Where Machine Learning ends and Deep Learning begins
  • Why AI products work fundamentally differently from deterministic software
  • What Foundation Models are and why they changed the rules
  1. How LLMs think
  2. ML Landscape
  3. Probabilistic Thinking
  4. Foundation Models
  5. Synthesis

Part of AI Learning — free courses from prompt to production. Jan on LinkedIn