Even though class was taught by instructors from Google, the quality of tech around it was not Google-like. The labs in two week have serious issues once the pre-requisite steps are complete and experimental/fun//learning part of the lab begins.

Donne une bonne vue théorique du MLOps sur GCP mais la pratique est moyenne. Il manque un réel cas d'étude pour solidifier les acquis.

​good content, but labs tend. To fail and debugging/support is not fantastic, forums dont have so. Many posts to support Either.

The Labs took a lot of the promise the course had. It was a good time overall. Learnt a lot that requires further attention.

Lab infrastructure doesn't work. For example, folders "mlops-on-gcp" was hidden. So, I can't touch labs properly :(

Some of the labs works only with out of course workarounds, the course needs updating.

Good but in lastest lab on chapter3 should work with git also.

The structure and sequencing of this course is not clear

Hard to follow

Assigment is not actually interesting

Algunos laboratorios no funcionan adecuadamente

there was a lot of bugs in this course

The labs did not make any sense for me

The last lab has too many error

Good material but buggy labs

It was gud

good

Videos are nice and good for learning new perspectives but there is a huge problem in this course. Labs (required to complete if you want certificate) are bugy and for example i need to wait for one lab problem to be solved if i want my certificate (which is going on for more than 2 weeks as i can see in forums). Overall, good quality videos but unexpectedly very poor technical management.

Course focuses entirely too much on Google's managed offerings, many of which are still in Beta. The course could significantly be improved by focusing on foundational knowledge such as deeper dives into containers, CI/CD processes, and should add a DataOps component which is completely skipped over.

Lectures about theory concepts were good but should have also explained hands-on part. And qwicklabs sucked. Had high expectations from this course but it turned out to be very disappointing.

so duplicated, poor lab

ok

Cannot complete the course because the last lab requires you to create a git fork using the qwiklab account, but there is no way to receive the verification email on the account, which results in in inability to complete the course.

Also, every lab takes 15 minutes of loading time to even start which wastes a lot of time.

When you have issues working out instructions and need help, The Tech Support is slow getting back to you, there's too many of them messaging you asking the same question about your problems. Plus the Instructions are poorly delivered which sets in a lot of confusion.

Bad lab experience needs to give more precise information as it is taking too long to find small details and improper explanation of what is expected from the Learners. Hope that the improvements are made to ease the learning experience of future learners.

Some labs are "unavaibale" in the Quicklabs portal. For example, in one Lab the portal says "Sorry, Using custom containers with AI Platform Training is currently unavailable"