AI Basics: What Artificial Intelligence Actually Is (and Isn't) (BG) course

You don't need to be a programmer to understand AI. This course gives you the honest, jargon-free foundation: what AI and ChatGPT actually are, how large language models work in plain English, why AI makes things up, and how AI already shows up in your daily life. By the end, you'll be able to have an informed conversation about AI, use AI tools with confidence, and see through the hype. This course is the recommended starting point before taking any other AI Readiness course.

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Modules in this course
1
Cut through the buzzwords. This module defines AI in plain English, explains where it came from, and helps you separate the real capabilities from the noise.
Trial
2
How do large language models actually work? This module explains training, tokens, context windows, and hallucination in plain English — no math, no code, just the concepts that make AI behavior predictable and understandable.
3
AI is already woven into the products and services you use every day — and new generative AI tools are changing how people work and create. This module connects the abstract to the concrete and gives you a practical starting point.

AI Basics: What Artificial Intelligence Actually Is (and Isn't)

The plain-English foundation course for anyone who has heard of AI but wants to truly understand what it is, how it works, and what it means for thei…

Sign in to join the discussion.
Recent posts
No posts yet.

You don't need to be a programmer to understand AI. This course gives you the honest, jargon-free foundation: what AI and ChatGPT actually are, how large language models work in plain English, why AI makes things up, and how AI already shows up in your daily life. By the end, you'll be able to have an informed conversation about AI, use AI tools with confidence, and see through the hype. This course is the recommended starting point before taking any other AI Readiness course.

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Modules
3
1
Cut through the buzzwords. This module defines AI in plain English, explains where it came from, and helps you separate the real capabilities from the noise.
Trial
2
How do large language models actually work? This module explains training, tokens, context windows, and hallucination in plain English — no math, no code, just the concepts that make AI behavior predictable and understandable.
3
AI is already woven into the products and services you use every day — and new generative AI tools are changing how people work and create. This module connects the abstract to the concrete and gives you a practical starting point.
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