Section checkpoint

Welcome

6 questions drawn from the 2 chapters in this section. If most land on the first try, you are ready for the next section. If not, the explanation after each answer says which idea to revisit.

Checkpoint

6 questions · first-try answers earn the most XP

1. How do AI, ML, deep learning, and generative AI relate to each other?

2. What does the chapter's beginner rule say to do when someone uses the word 'AI'?

3. Why does the chapter insist on measuring accuracy, citations, cost, and latency rather than just answer quality?

4. What does the chapter say about spaced repetition timings?

5. Why is drawing a system in boxes and arrows recommended as a check on understanding?

6. What does the 90-minute session template leave room for at the end?

What this checkpoint covers

What is AI Engineering?
AI vs ML vs DL vs GenAI, and what an AI engineer actually does daily.
How to Learn AI Without Math Fear
Beginner learning system: concepts, visuals, tiny code, repetition.

Next section: AI Foundations (No Math Fear)