AI Basics

What machine intelligence is and how the pieces fit together.

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This course has 3 lessons. Start with the first one and use the next / previous links at the bottom of each lesson — the sidebar keeps the whole course in order.

Lessons

  1. AI, machine learning, deep learningThe three terms people use interchangeably, what a model actually is, and where the boundary of "intelligence" sits.
  2. The model lifecycleFrom framing a problem to monitoring it in production — and why most AI projects fail before any model is trained.
  3. Using a model APITokens, temperature, system prompts, structured output and cost control — the practical mechanics of calling an LLM.

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