Module 2: Module-2 in AI-Basics (BG)

Module 2 demystifies the mechanics behind large language models. Learners won't write code or do math — they'll build a conceptual model of how AI is trained, what 'tokens' and 'context windows' mean in practice, and why AI confidently produces wrong answers. This module turns AI from a mysterious oracle into a comprehensible tool with known strengths and failure modes.

Topics in this Module
Free trial available: Module 1, Topic 1 — AI, Machine Learning, and Generative AI: What's the Difference?
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What it means to 'train' an AI model — the conceptual picture without any math or code

The three AI concepts users encounter most often — explained in practical terms that change how you use AI tools

Why confident-sounding AI output is sometimes completely wrong — and the practical habits that protect you

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Topics in this Module
Free trial available: Module 1, Topic 1 — AI, Machine Learning, and Generative AI: What's the Difference?
Go to trial topic

What it means to 'train' an AI model — the conceptual picture without any math or code

The three AI concepts users encounter most often — explained in practical terms that change how you use AI tools

Why confident-sounding AI output is sometimes completely wrong — and the practical habits that protect you

Module 2 demystifies the mechanics behind large language models. Learners won't write code or do math — they'll build a conceptual model of how AI is trained, what 'tokens' and 'context windows' mean in practice, and why AI confidently produces wrong answers. This module turns AI from a mysterious oracle into a comprehensible tool with known strengths and failure modes.

Sign in to join the discussion.
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