BitWithBite
AI & Machine Learning Worksheet
🤖 Careers in AI & ML
SCORE___ / 20
NameClassDate
After this worksheet you can
Know the main AI/ML rolesSkills per roleTypical pipelines of workHow to start building proof🧠 Section A · Concept Check ● BEGINNER 4 × 1 = 4
1Builds/serves models in production:
2Explores data and builds insight/models:
3Maintains data pipelines/warehouses:
4Best first proof of skill:
🧮 Section B · Problem Solving ● INTERMEDIATE 2 + 3×3 = 11
5Core language for ML work: .
6Data build and clean the pipelines models depend on.
7Match role to task: deploy model API; clean TB of logs; A/B analysis.
8Three portfolio project ideas?
9Why do employers value projects over certificates?
🚀 Section C · Challenge ● CHALLENGE 5
10What is MLOps in one line?
💭 Reflection — the most useful thing I learned:
A ___/4 B ___/11 C ___/5 Total ___/20
Teacher's Signature
Parent's Signature
✂ answer key — fold or cut before handing out
1-A 2-A 3-A 4-A | 5 Python 6 engineers 7 = ML engineer; data engineer; data scientist 8 = Prediction app, dataset analysis writeup, fine-tuned model demo 9 = They show real applied ability end-to-end | 10 = DevOps for models - versioning, deployment, monitoring