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Вернуться к Google Cloud Platform Big Data and Machine Learning Fundamentals

Отзывы учащихся о курсе Google Cloud Platform Big Data and Machine Learning Fundamentals от партнера Google Cloud

4.6
звезд
Оценки: 10,385
Рецензии: 1,860

О курсе

This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform • Employ BigQuery and Cloud Datalab to carry out interactive data analysis • Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow • Choose between different data processing products on the Google Cloud Platform Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following: • A common query language such as SQL • Extract, transform, load activities • Data modeling • Machine learning and/or statistics • Programming in Python Google Account Notes: • Google services are currently unavailable in China....

Лучшие рецензии

VS

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.

AD

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.

Фильтр по:

1401–1425 из 1,849 отзывов о курсе Google Cloud Platform Big Data and Machine Learning Fundamentals

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.

автор: akhilesh

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.