Mar 03, 2019
Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.
Sep 24, 2019
This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.
автор: Isaac M L•
Feb 25, 2019
I experiencing Lab Issues, that were corrected later. Sometimes the progress it doesn't reflected in the course progress log
автор: Manfred K•
Apr 03, 2017
It would be very helpful to provide all the presentations and labs as a slide deck for later recatch on the GCP foundation
автор: Francisco D S F•
Jun 22, 2019
My only problem was with the last lab, there's a really confusing section there, right in the last part of Vision API lab
автор: Godefroy C•
Sep 22, 2019
Too many tutorial where you juste have to follow the instructions & not enough hands on quizz and exercices for my taste
автор: RODRIGO G M•
Jul 14, 2019
Labs could be more user centric and not just read and follow, you end up just reading and copying commands, to mechanic.
автор: Kian S M•
Mar 25, 2020
I would have appreciated a bit more detail in some of the GCP commands (especially those related to shell and dataflow)
автор: Alexandre R•
May 11, 2018
Good course, but the quizz are too easy to really verify your learning. Also the lab are not really asking you to think
автор: Ismi Y•
May 09, 2020
Machine learning concept in this course is quite good. However, the explanation of how GCP resources work is not much.
автор: Tanay N•
Dec 10, 2019
There should be some labs where some things are left to the student and all graded assignments should not be very easy
автор: blubeta t•
Nov 07, 2018
Good intro. Feels disorganized though, like topics are spread out. I guess that's what to expect from an intro course.
автор: Abhisek M•
Jun 01, 2018
Really awesome course , I would like to request you to share the next level of learning path for me in the data track.
автор: Anand S•
May 09, 2019
It was comprehensive and provided the basic understanding of Google Cloud Platform in a nice and comprehensive manner
автор: Daniel S B•
Jun 29, 2018
Nice overview of the Google Cloud Platform services. It would be great if the labs and quizzes were more challenging.
автор: Agbor W•
Mar 03, 2019
Excellent course to begin learning fundamentals of machine learning in the cloud. The labs make it more interesting.
автор: Donald Y•
Jan 03, 2018
Course material is excellent. But I've been spoiled by the EDX interface experience. I wish this course were on EDX.
автор: Avula S K R•
Jan 29, 2019
Had some issues with 2 labs. Labs steps are not given completely and due to that I couldn't complete it completely.
автор: Víctor A S I•
Jan 14, 2018
Excelente repaso a las capacidades en GCP. Lástima que no se pongan las diapositivas usadas a disposicón del alumno
автор: Dominic M•
Sep 11, 2019
I good introduction for those with little to no background in this area, a little slow at times but overall decent
автор: Mohamed N A•
Sep 05, 2019
Overall the course was good. But some topics need slow explanation to understand and need more fundamentals of GCP
автор: Miguel Á V F•
May 18, 2020
It's so good. May be you have to have time to re-do the labs because you'll learn much more if you made mistakes.
автор: Joao o•
Jan 03, 2020
There a lot of good information here, but, it's necessary to improvement the assessment and the exercices in lab.
Nov 02, 2019
very basic fundamentals for GCP, Various products, how do they do it, how to think on solving a problem using GCP
автор: Simon C•
Jan 30, 2019
was not clear tensor flow's sector because was not explain as well how to classificate all using lib's functions
автор: Bert W•
May 25, 2018
Great course. Too bad that 2 of the labs didn't work for me because of permission errors which I could not solve
автор: Oleksandr A•
Mar 21, 2019
Some labs had missing files that had to be processed in girt repository, especially the ML with datalab course.