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.
교육 기관: Chandan D•
May 10, 2020
Explained the complexity of data modelling extremely lucidly with practical use cases & through quite elaborate lab work.
교육 기관: Javier D•
Jan 04, 2020
It was a very interesting course. It made me very enthusiastic to learn more of cloud computing, AI and data engineering.
교육 기관: Jose V•
Sep 19, 2017
Excellent course to get an idea of how to take advantage of what GCP has to offer regarding Big Data and Machine Learning
교육 기관: Srinath.V•
Jun 02, 2017
Awesome Course!!! Enlightened me about various data processing capabilities of Google Cloud Platform!!! Coursera Rocks!!!
교육 기관: Jonathan C•
Aug 23, 2020
Just fantastic. It was a great course that was able to open my eyes to the immensity of possibilities for work the data.
교육 기관: Miguel P•
May 16, 2020
Great course, very hands on, very good examples allowing me to understand how to implement certain tasks with Google GCP
교육 기관: Venkata K D K•
May 24, 2020
Detailed explanation of topics and example data sets provided for training are exceptional for new learners like me ..
교육 기관: Raj K•
Jan 14, 2019
Excellent overview of GCP. We surely need at least 15 focused hours to grasp the content. Thanks for all your support.
교육 기관: Vaibhav V•
Dec 01, 2018
The content was thoughtfully crafted and the lab exercises along with them were very helpful in learning the concepts.
교육 기관: Sumit K K•
Nov 08, 2018
For a fundamentals course really a great course with easy-to-understand content. The labs are the most enjoyable part!
교육 기관: Arisetiaji•
Nov 04, 2019
best course about cloud i think, make me feel like a smart user using the google cloud platform. thanks coursera :DDD
교육 기관: Syzdykov A•
Jan 30, 2019
I set a goal to finish this course in under a week. Although, I did achieve this goal, I didn't see any confirmation.
교육 기관: Julio H•
May 06, 2020
Bueno el curso es de un muy buen material actualizado y excelentes laboratorios para la practica que es fundamental.
교육 기관: Robin S•
Feb 12, 2018
Excellent introduction to using Google Cloud packages including App Engine, Bigtable, Datastore, SQL and TensorFLow.
교육 기관: Will H•
Oct 05, 2020
Very thorough course, eases into complex topics, and the labs provide great, hands-on practice with powerful tools.
교육 기관: Ganesh M•
Jul 20, 2020
It is a very good platform to learn and practice all the required GCP modules. Thank you for such a wonderful labs.
교육 기관: Nikunj T•
May 22, 2020
Great course! Concepts were taught well, would definitely recommend my friends. Thank you Team Google and Coursera.
교육 기관: Dmitry S•
Apr 14, 2020
It is inspiring and very hands-on. I highly recommend the course for self-development and for very practical tasks.
교육 기관: Sivaneshwar P•
Mar 24, 2019
Clearly explained! GCP with all its tools and services is just WOW ! The Labs were fun to get hands on experience!
교육 기관: Trusha R S•
May 05, 2020
It could be bit more informative if you add more details about each product like to include the BigQuery syntax .
교육 기관: Victor L•
Aug 25, 2019
Great course to start deep diving into GCP. Happy to have an ability to practice using GCP console with Qwiklabs.
교육 기관: BODDU V S•
Jun 05, 2019
The course was very good, helpful to get started with GCP, but there is a problem with cloud shell in quick labs.
교육 기관: Adrian L R•
Jan 26, 2019
Excellent trainer and also loved the lab guided demostration videos with clear explanations on what we were doing
교육 기관: Ankush•
Apr 25, 2020
This is a great fundamental course for GCP and I would recommend this to everyone if you are new to GCP platform
교육 기관: Cyril A U•
Aug 14, 2019
This course is fundamental and insightful. I may consider delving deep into machine learning and data analysis .