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Volver a Serverless Machine Learning with Tensorflow on Google Cloud Platform

Opiniones y comentarios de aprendices correspondientes a Serverless Machine Learning with Tensorflow on Google Cloud Platform por parte de Google Cloud

2,373 calificaciones
282 revisiones

Acerca del Curso

This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models. OBJECTIVES This course teaches participants the following skills: ● Identify use cases for machine learning ● Build an ML model using TensorFlow ● Build scalable, deployable ML models using Cloud ML ● Know the importance of preprocessing and combining features ● Incorporate advanced ML concepts into their models ● Productionize trained ML models PREREQUISITES To get the most of out of this course, participants should have: ● Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience ● Basic proficiency with common query language such as SQL ● Experience with data modeling, extract, transform, load activities ● Developing applications using a common programming language such Python ● Familiarity with Machine Learning and/or statistics Google Account Notes: • Google services are currently unavailable in China. COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

Principales revisiones


Jan 09, 2018

Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.


Sep 21, 2017

Great course! I've learnt a lot. The concepts where super clear. The coding part was a little difficult, I didn't understand all af it, but it's good to have a complete example to use.

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251 - 275 de 277 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

por Andriy K

Sep 26, 2018

not practical at all

por Bo Y

Aug 27, 2017

Not updated, python 2.7

Too many small clips, should build a 4 modules * 10 videos *10 minutes each

GCP also changed, not find the right place to execute the code. Local docker encounter some issue, so I give up the code part. Really pity, that is what i am looking for

por Prabhu c

Jun 30, 2017

Course Content was good, but poorly organised and span of the videos were very short. Difficult to focus as videos were very short. lot of videos are less than two minutes. Kindly make the videos for atleast 5-10 mins long. If possible, combine the videos, it would help the course takers in future.

por Murat T

Jul 26, 2017

Decent content is made very difficult to take in due to poorest editing I have ever seen on Coursera. There may not be many alternatives to this course but in terms of quality this course is not a fair value for money. There are multiple duplications, haphazard cuts, 3-5 second videos that are tied together out of context. It seems the videos are taken from a classroom presentation and shoehorned into an online course format. Very disappointing.

por Dharmesh K

Jul 22, 2017

Organization of the videos is poor. The videos are too many in number and a large number of them are extremely short in duration. But it really good to learn tensorflow and usage in distributed fashion in GCP.

por Daniel I

Jan 17, 2018

It's ok as an introductory course, but videos are not aligned with labs, and I expected to extract deeper knowledge from it.

por Darshak S

Aug 02, 2017

Lak is a great teacher, I love his other courses, but this one is not up to the mark. This course has been basically recorded in a live training session and just uploaded the slides and audio as a video.

There are places where he is clearly pointing at stuff on the slide in his live session, but in the video there is no way of knowing what he is exactly talking about.

Please recreate this course from scratch specifically for Coursera format. This is a very important course and students should get all the concepts.

por Marcelo G

Jun 22, 2018

Subtitles with lot of problems.

por Ramón V

May 28, 2019

I'd like the updated version of the course and lab with the new tutorials with Keras etc. Sorry about the 2 stars, apart of that I learned important things in the lab and course. I'll give a 5 stars with the updated version. Thanks.

por Aleksei

Oct 10, 2019

There are many problems with the Datalab and mismatching between "mlengine" in the course and "ai-platforms" at GCP

por Sudhindra D

Nov 09, 2019

Data too huge to process within timeline of lab

por Ciprian D

Feb 02, 2019

This course/specialization is seriously insufficient in order to pass the GCP certification. A lot of knowledge from the Architecture course would still be necessary. The disclaimer about work experience does not cover that.

por Thanakorn T

Jan 06, 2019

Wait too long to even begin this course (wait for 5 minutes for datalab to start)

por Gavrilov M

Oct 10, 2018

Half time of course need for start lab

por vishwanathan r

Oct 03, 2018

Too many activities in lab which is not clearly outlined in the elearnings.

por Anselme B

Oct 04, 2018


por Viswanatha S

Oct 23, 2018

Hey it does not let me access my lab or course, it says, course has not started yet. This is really bad and what ever else you want to call it.

por Narendra P

Mar 18, 2018

A really substandard course. Does not do justice to its name or GCP.

This is in no way reflective of the accent or knowledge that instructor has but his teaching abilities.

por cheng y

Oct 09, 2017

the worst course in the Coursera

por Mark D

Aug 12, 2017

Should be a much longer course with more hands on programming instead of just reviewing what is written. So many videos are 30s or less, videos are cut off, or following video is incorrect. In at least one instance a video was duplicated out of order.

por Ajit K

Dec 08, 2017

This course is very high level

por Chaz R

Oct 18, 2017

I was very disappointed by this course. The spoon-feeding, no-skills-required approach was out in full force. After going through this entire course I feel like I still don't have a solid grasp of how any of the serverless machine learning scripts actually worked, because it was just "read this," "run that," "push this button." There was no explanation of what "run this" was actually doing, or how I would write something like that myself.

Most of the actual learning I'll do on this topic won't happen watching the Coursera videos - it'll happen while looking through the training-data-analyst repository and understanding the many moving parts that went unexplained during the course. I don't feel this course is adequate preparation for doing serverless machine learning with the Cloud ML Engine.

On top of all of the frustrations about the content, there's also the fact that every video for the entire course was chopped into 30 second or 1 minute intervals, making it distracting and hard to learn. This was made worse by bugs in Coursera's video playback mechanism, which prevented videos from automatically advancing, and meaning I was getting stuck every minute (for HOURS) clicking on the "Next" button.

por Leo Y

Jul 10, 2018

The most of the subtitles of this course are either out-sync or totally incorrect. Please fix it ASAP!!

por Danish S

Jun 26, 2019

Labs failed with Bad model error and deprecated command warnings. Please update the material to keep pace with changes from GCP

Overall the practical part of the course was not very useful for learning. There is no point in doing shift + enter - without diving into the code I don't think you can learn anything. On top of that errors and down rev material causes more confusion.

You guys need to pick up game. There are other places that are providing much better learning experience and updated course material than Coursera (e.g. Linux Academy). I'm very disappointed

por Deleted A

Jul 29, 2019

Can't understand his English accent.