Module 6: AI Foundations
Understand what artificial intelligence actually is, how language models produce text, and why AI arrives as a cloud service with all that implies for your data.
What You'll Learn
- The difference between AI, machine learning, and large language models
- How a language model produces text, and why fluency is not accuracy
- Where AI sits in the IaaS, PaaS, and SaaS models from Module 2
- What happens to a prompt after you submit it, and what must never be put in one
Real-World Scenario
A scheduling vendor tells Lakeside its product is 'AI-powered.' That could mean a language model, a statistical predictor, or a set of if-then rules written in 2015 — all marketed identically, all carrying different risks. Meanwhile a colleague has been pasting draft letters containing patient names into a free AI assistant to improve the wording.
Lessons
Complete each lesson in order. Watch the video, review the notes, and finish the challenge.
What AI Actually Is
Separate artificial intelligence, machine learning, and large language models, and understand what these systems do rather than what they appear to do.
AI as a Cloud Service
See how AI fits the cloud service models you already know, and what that means for where your data goes.