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學生對 Google 云端平台 提供的 Google Cloud Big Data and Machine Learning Fundamentals 的評價和反饋

4.7
14,580 個評分
2,507 條評論

課程概述

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud....

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VS

2019年3月2日

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

2019年9月23日

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.

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2301 - Google Cloud Big Data and Machine Learning Fundamentals 的 2325 個評論(共 2,491 個)

創建者 Mohan T R M

2019年2月27日

good

創建者 Arun K

2019年2月9日

good

創建者 Krishnam R

2018年6月20日

Good

創建者 Imam S 0

2021年12月19日

ok

創建者 e o

2020年11月16日

;)

創建者 Simon P

2019年11月25日

ok

創建者 Marcin Z

2019年5月19日

ok

創建者 Narendra B O

2019年8月26日

.

創建者 Ievgen B

2018年11月23日

.

創建者 Ruba

2017年12月26日

V

創建者 Matthias H

2018年3月6日

Very nice and fast-paced introduction into the components of the Google Cloud Platform giving a first hands-on experience. It nicely explains the concepts of local computing, cloud and elastic cloud concepts. But what it is missing is a) explaining which and why those components are behind PubSub and others (Apache Beam, Kafka, etc.) and b) the pricing model and finally c) how to deal with frequent changes on the API. Google says it's cool that everything is moving so fast, but for a real enterprise that might be a problem.

創建者 mikesalgo

2017年12月24日

It's a good intro to different google cloud products,

but lecturer spent quite a lot of time on explaining the advantage of using each google cloud products.

And since this course is too short, so I can only get a rough idea of each cloud products.

I am interested to know more about tensor flow and I have no knowledge of tensor flow before, this course is not a good learning resources on this aspect.

創建者 Gnana P D

2019年11月23日

This is more like an advertisement for google cloud more than teaching it. There should be a provision to explore the Google cloud to learn more rather than putting so many restriction at least for educational purpose. Removing restriction will let people understand and experiment more, which in turn attracts talents to use GCP while they work for enterprises.

創建者 Kristoffer L

2020年11月14日

Overall, the course is good as it gives a good introduction to all GCP services related to Big Data and Machine Learning.

However, what I was eager to experience in taking the course is more hands-on practice of the tools within GCP. Also, there could be more explanations in the labs, especially the codes (not just them being copied and pasted).

創建者 yating l

2019年5月6日

1.The accent of one instructor is hard to tell, not friendly to non-native English speaker.

2.Some pauses and interruptions during the lectures. I'm not sure if the instructor(s) is well prepared but at lease they should have had script for what is going to talk.

3.The review section of each lab is not necessary. The instructions is clear enough.

創建者 Yakov F

2022年4月20日

Overall a good foundation course. Unfortunately, the shared lecture slides are from the older version of this course and utterly do not match the current video lectures; moderators do not respond to the request to upload the current slide decks. The instructions for the last lab (Vertex AI) are buggy or incomplete in several places.

創建者 Rohan A

2019年9月10日

it was good to plug and play data on the labs and see results. I am quite impressed by the scope of ML in our world. listening about different applications of all GCP software is very intriguing. I am from non CS background, and i find programming challenging. I really do look forward to change my field and move in data analytics

創建者 Morgan S

2020年9月6日

The course was not as hands-on as I would've liked it to be. The exercises are not problems to be solved. They are recipes/instructions to be followed. The instructors spend a lot of time pitching GCP. On the bridge side, GCP is an impressive tool. I feel now comfortable using some of its key features.

創建者 roman

2018年6月14日

I liked the details in the explanations and the huge knowledge the trainer has.The labs were a little disappointing at times. Lots of configuration and then you didn't really do much with it. Would have been great to have some more practice included using the data once the infra is up and running.

創建者 Rendy B J

2017年9月10日

scratch very basic of gcp. overall great course. but i got difficulties on following when i need to execute datalab python which the notebook is available on github. i thought i followed every step told by the instructor but I couldn't find how I could git clone to my datalab like the video did.

創建者 kkim

2021年9月18日

I simply satisfied with this lecture, but i had just a little point that i've disapointed.

First, There isn't any subtitle for Korean.

Second, It's difficulty has grown up too fastly to compare start and the end.

Anyway, Thanks for such a good lecture. Thx :D

創建者 Aarti K

2019年4月9日

The Labs and Course Assignments can be better. Fundamentals of GCP was a good course with tough assignments and a lot more learning. In this one the videos are too long and sometimes repetitive like Lab and Leab Review.

創建者 Niall M

2019年11月2日

last lab was a bit disappointing. suspect something to do with a GCP outage. But rest is a very good up-to-speed on GCP and the various tech available there. Looking forward to using for some of my next projects.

創建者 Marlo F

2019年1月27日

There are some steps missing in the labs, while the video on DataFlow didn't provide an introduction into why MapReduce is applicable to certain problems. Besides that, the tutor is speaking too fast.

創建者 Jayasimhan g

2020年12月27日

Applying the supervised and unsupervised methods through Google, with more examples would be a better learning experience. But this course gave perfect confidence to tackle anything that comes up.