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Full curriculum · 6 Parts · 19 decks · 1 cited report

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19 slide decks · ~242 total slides
6 Parts · ~21 hrs planned run time
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part 1_overview

AI Fundamentals

What it is, how it learns, where it breaks, and the full system map.

6 decks
82 slides
~~7 hrs
  • 01
    1.1 · What AI Actually Is (and Isn't) — Taxonomy of intelligence types and the AI-washing detection framework.
  • 02
    1.2 · AI, ML, DL, GenAI — One Mental Model — Concentric circles + recipe analogy so anyone can get the hierarchy.
  • 03
    1.3 · How Models Learn — Training vs inference, loss, overfitting/underfitting, and frozen parameters.
  • 04
    1.4 · Transformers & Why They Changed Everything — The architecture that unblocked parallel context and scaling laws.
  • 05
    1.5 · The Hard Limits of AI — Critical Thinking — Hallucinations, bias, brittleness, and the 4-question scepticism framework.
  • 06
    1.6 · The AI System Map — The model is one layer. The other eight are where deployments actually fail.

takeaway

After this Part the learner will be able to:

  • Talk concretely about the ai fundamentals decisions a real team must make.
  • Walk into a planning meeting with the frameworks in Part 1 written down and ready to use.
  • Download and reuse every slide, figure, and diagram in their own internal reviews.
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part 1_decks

AI Fundamentals — 6 decks

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