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.
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.
The course is very good, but which is only an introduce course. I hope the followed courses cloud be teach some knowledge of application.
автор: Colin A•
good general overview of ML on GCP. Much of the material is covered in the free tutorials on cloud.google.com, but videos are a big help.
автор: Joaquin M•
The course is a good intro to the GCP ecosystem. If you are not aiming for a Specialization (5 or 6 courses) do not pay for this course.
автор: John K•
Very informative, yet frustrating at times with how the labs are set-up. I am excited to continue down the Data Engineer specialization.
автор: Brad K•
Very good! I think more exercises would help solidify some of the steps and processes in configuring pub/sub, bq, dataflow, and autoML.
автор: nhu l•
I couldn't complete to the end of some labs due to some error which I wasn't sure how to fix it. But most of the labs are very helpful.
автор: Alexander d L•
A very good overview of the GCP and its Big Data products. It's easy to follow and the labs reinforce the key messages in each module.
автор: Hugo S•
Third party tool is not always working well, that can create a lot of frustration
Apart from that, I think its a good overview of GCP
автор: Tony T•
The course content consists of some advanced concepts of python like graph plotting. This will be a difficult for newbies to grasp.
автор: Mark D•
A few of the instructions are outdated. Otherwise, generally a good overview to get started with some of the Cloud Platform tools.
автор: Ankit S•
This course should not be paid or include other courses as well for value of the course, overall satisfied.
qwiklabs are excellent.
автор: Antoine C•
Would have loves to know to learn how to do a pipeline: like: I have a website and I want to ingest data whenever it changes ...
автор: Andrei P•
High level, fast paced presentation of some of GCP's components. Take it only if you want an overview of GCP and what it can do.
автор: Amit D•
Very Nice Learning experience, to clear GCP fundamentals concept also labs are very good to interact with GCP tools and service.
автор: Erick E T L•
tuve dificultad para realizar algunos laboratorios ya que los pasos eran diferentes a los mostrados en los videos de validación.
автор: Mark J•
As the name of the course suggests an excellent introduction to the Big Data and Machine Learning Fundamentals of GCP. Thankyou
автор: Amit k•
there was something new concept for me ,question in not easy to solve. i learn something new thanku very much for this course.
автор: Travis B•
Great examples, excellent overview of GCP products and how they relate. Only thing thats missing is a lab with Google Cloud ML
автор: Shaik H•
I liked it a lot. The lab was pretty helpful to get our hands dirty on what we had actually heard/learnt through the videos.
автор: Yusuf B•
last part of week2 is needs to be updated immediately. But the other parts of course is very useful and instructive. Thanks.
автор: Iniyavan R•
Very good to start with ML. I am new to both GCP and ML. Prior knowledge in GCP concepts could have been an added advantage.
автор: Isaac M L•
I experiencing Lab Issues, that were corrected later. Sometimes the progress it doesn't reflected in the course progress log
автор: Manfred K•
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•
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: KOWSHIK R•
Good experience with google cloud platform. Understanding the concepts with lab is experimental is very good experience.