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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: 11,009
Рецензии: 1,973

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:

1451–1475 из 1,950 отзывов о курсе Google Cloud Platform Big Data and Machine Learning Fundamentals

автор: Aditya K

Sep 30, 2018

As I am from an Admin background it took more time to understand the AI & ML areas. Overall it is very good and hope learn in details in next course

автор: Aniruddhan G

Apr 13, 2017

It is certainly a good course offering a broad overview of the Google cloud platform. However, it could offer more depth in all the modules covered.

автор: Bobby M

Jan 07, 2019

I love the content. The lab system is innovation but sometimes the scoring system does not work properly, especially when you are outside the US.

автор: Oren L

Sep 16, 2018

The course is good, the labs are not great and some of the labs required multiple (identical) repeat before it was marked as completed. Thank you

автор: JUAN G B

Jun 10, 2018

Good for an introduction.Some topics about Datalab need an extra introduction, because are not easy to understand for a person with not knowledge

автор: Ramon G

Sep 12, 2019

Great to start with GCP advance analytics and AI. It's really cool to do the hands-on labs with a real gcp free account, but they're a bit basic

автор: Adelard B

Apr 09, 2017

Very good course. Got a lot of useful insights. - Quizzes are fine and just right amount. But needs more challenging lab exercises for practice.

автор: KOMMURI S P K

Nov 05, 2019

Very good content but the categorization could be improved as the content is stuffed into week 1. There could be segregation of more sections..

автор: Maninder S B

Jun 09, 2019

Overall this is a good introduction course. However, I did not come across any topics that cover on premise to cloud data migration strategies.

автор: Ruchita K

May 11, 2020

This is one of the course i really enjoyed . and get to know about BigQuery ,GCP platform . Building model .and many more exciting materials.

автор: Diego B

Jul 11, 2019

Nice introduction to the GCP infrastructure. The main features of GSP are discovedered, ad high level, without going deeply on the details.

автор: Jorge R S

Nov 14, 2019

Great course. I'm not that familiar with data, so a crash course on SQL might be helpful as reference to understand better some concepts.

автор: Facundo F

Sep 15, 2018

very good course, some of the labs have problems in the completion, and not 100% updated on the tutorial. Great content and very didactic

автор: 苏高生

Nov 18, 2017

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

Oct 06, 2017

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: John K

Mar 11, 2019

Very informative, yet frustrating at times with how the labs are set-up. I am excited to continue down the Data Engineer specialization.

автор: nhu l

May 24, 2020

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

Oct 09, 2017

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

Feb 05, 2019

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

May 08, 2019

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

Jul 25, 2017

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

May 03, 2020

This course should not be paid or include other courses as well for value of the course, overall satisfied.

qwiklabs are excellent.

автор: Amit D

Jan 20, 2020

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

Apr 18, 2018

tuve dificultad para realizar algunos laboratorios ya que los pasos eran diferentes a los mostrados en los videos de validación.

автор: Mark J

Jun 22, 2020

As the name of the course suggests an excellent introduction to the Big Data and Machine Learning Fundamentals of GCP. Thankyou