π§ͺ Module QuizzesΒΆ
π§ π Course home Β· ποΈ Fast track
Seventeen short multiple-choice quizzes β one per content module (Modules 1β11, 13β14 and 16β19; Module 15 is the two capstones, which are the assessment, and Module 12 β DeepTab β is an optional reference track). Each one is five questions, ~10 minutes, and tests whether the moduleβs ideas actually stuck.
Module |
Covers |
File |
|---|---|---|
1 |
Foundations (NB 1β6) |
|
2 |
Data Science (NB 7β11) |
|
3 |
Real-world I/O (NB 12β13) |
|
4 |
Web Scraping (NB 14β16) |
|
5 |
Machine Learning (NB 17β19) |
|
6 |
Deep Learning with PyTorch (NB 20β22) |
|
7 |
Industry Applications (NB 23β26) |
|
8 |
AI Engineering (NB 27β32) |
|
9 |
Building AI POCs (NB 33β36) |
|
10 |
Agents, Tools & MCP (NB 37β40) |
|
11 |
NLP (NB 41β43) |
|
13 |
Production (NB 45β46) |
|
14 |
CI/CD & Deployment (labs) |
|
16 |
Business AI (NB 49β52) |
|
17 |
Django for AI Web Apps (labs) |
|
18 |
Compound AI Evaluation (NB 53 + lab) |
|
19 |
Containers & Docker (mini-book + lab) |
How to use the quizzesΒΆ
Finish a module.
Open the corresponding quiz.
Read each question, decide which answer you think is correct in your head, then click the Answer + reasoning block to check.
Score yourself out of 5.
Scoring rubricΒΆ
5/5 β youβve got it. Move on.
3-4/5 β solid. Re-read the section you were unsure about, then move on.
0-2/5 β re-do the moduleβs notebooks before continuing. The next module builds on this one.
Why multiple-choice (and not coding)?ΒΆ
Module notebooks already give you ~6-9 write code exercises each (Practice + Stretch). These quizzes test something different: can you read code, predict its behaviour, and choose the right tool from a set of options? Thatβs the skill you need in code review, in interviews, and when reading other peopleβs notebooks β and itβs not the same skill as writing code from a blank page.
Cross-referencesΒΆ
Each quizβs closing cell links to the next moduleβs first notebook. You can use the quiz as the natural transition between modules.