Most people now use ChatGPT, Claude, or Gemini every week without a clear mental model of what’s happening underneath. That’s fine right up until the model is confidently wrong and you have no way to tell.
AI Model Basics is a new 20-minute LinkedIn Learning course aimed at exactly that gap.
What the Course Covers
- How large language models actually work — enough mechanism to reason about them, without the math
- What prompting does and why it changes the output as much as it does
- Why models produce wrong answers, and what kinds of wrong to expect
- Personalization — what these tools can and can’t retain about you
- How to evaluate and improve what you get back instead of accepting the first response
Who This Is For
Anyone using AI tools at work who wants to understand them rather than just operate them. It’s beginner-level and assumes no technical background — no coding, no prior AI experience.
If you’re an engineer looking for the production-systems version of this material, Fundamentals of AI Engineering is the deeper course.
Why It’s Short
Twenty minutes is deliberate. The goal isn’t comprehensive coverage — it’s giving people enough of a model to be appropriately skeptical, which is the single highest-leverage thing a non-specialist can learn about this technology.
You can find the course on LinkedIn Learning.
Questions? Feel free to reach out.