AI Foundations for Everyone
The fastest way to get a non-technical team speaking the same AI vocabulary. Covers what AI is and isn't, how LLMs actually work, where AI fits in everyday work, the privacy and bias risks to watch, how to evaluate AI claims, hands-on Copilot prompts, and habit-building that sticks. Every chapter ends with key takeaways and chapter 8 finishes with a 1-page capstone plan.
8
Chapters
~55 min
Duration
Foundational
Level
No
Certification
Course Content
What is AI? (Without the hype)
AI/ML/GenAI distinctions, three things AI is NOT, and why 2022 was the inflection point.
How LLMs actually work
Next-token prediction explained — the one mental model that separates confident AI users from confused ones.
Where AI fits in your work
The 5 AI-fit patterns (Summarize · Draft · Classify · Extract · Transform) with concrete examples per function.
Privacy, risk, and the things to watch
What data should never enter a public AI tool, three real bias scenarios, and the 4 questions to ask before deploying.
How to evaluate AI claims (and tools)
The 5-question vendor framework and 4 red flags to walk away from. Cuts through hype in 90 seconds.
Hands-on with Copilot
Three practical prompts you can run today: summarize emails, draft hard emails, extract action items. Plus how to save the prompts that work.
Building AI habits that stick
The habit-anchoring formula — and why adoption fails through forgetting, not bad technology.
Capstone — Your AI starter plan
Bring it all together into a 1-page personal AI plan for the next 30 days. The course outro.