The lab kit of the course: https://github.com/hrhouma2/aiopsatlas-ml-data-diagnostics-labs-en
Before the supervisor opens the page, you want proof that every piece answers. You write week14/smoke_test.py: seven checks that print PASS or FAIL and exit with a code a script can read. Then week14/e2e_test.py runs both pages without a browser. Finally you fill week14/REPRODUCIBILITY.md so that a classmate can rebuild your app from a fresh clone. This is the same trio your final project needs.
Preview — the rest of the lesson is for enrolled readers.
Your access is tied to your account, not to this link. Sign in with the same email you used in class: your course is waiting, no need to enter the code again.
Sign inNo account yet? Create oneThe first modules of the course are open to everyone. For the rest you have three options: buy this course once and for all, subscribe, or enter the code handed out in class.