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End-to-End Machine Learning with TensorFlow on GCP

End-to-End Machine Learning with TensorFlow on GCP

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8.1/10 (Our Score)
Product is rated as #255 in category Machine Learning

In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine–learning–tensorflow–gcp). One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End–to–End Machine Learning with TensorFlow on Google Cloud Platform Prerequisites: Basic SQL, familiarity with Python and TensorFlow >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms of service <<<

Instructor Details

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

Specification: End-to-End Machine Learning with TensorFlow on GCP

Duration 11 hours
Year 2018
Level Expert
Certificate Yes
Quizzes No

97 reviews for End-to-End Machine Learning with TensorFlow on GCP

4.2 out of 5
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  1. Avatar

    choisungwook

    good

    Helpful(0) Unhelpful(0)You have already voted this
  2. Avatar

    JaeminKim

    It was very nice

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  3. Avatar

    Lee S J

    Great

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  4. Avatar

    Maxim

    This specialization consists of 5 courses: Course1: End to End Machine Learning with TensorFlow on GCP Course2: Production Machine Learning Systems Course3: Image Understanding with TensorFlow on GCP Course4: Sequence Models for Time Series and Natural Language Processing Course5: Recommendation Systems with TensorFlow on GCP In specialization’s FAQ say nothing about “audit” option. Do You know what is it ? “Audit” means that You can use course video material even after You subscriptions ended. By fact, only “Course 1” has such ability. Before pay for specialization, carefully check FAQ for EACH separated course in specialization: courses 2 5 has special point: “Why can’t I audit this course? This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available. ” “Who have paid” means that after You subscriptions ended, you lost access to video materials in this courses. p.s. 1 star only for “Audit”, content and lecturers are rated higher at least 4 stars

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  5. Avatar

    Shreya R

    Labs were perfectly designed to get nice hands on experience.

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  6. Avatar

    Gabrielwry

    pretty good for intro to get a feeling of how the Machine Learning System is working as a product.

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  7. Avatar

    Rahul D G

    QuickLabs has error in many labs

    Helpful(0) Unhelpful(0)You have already voted this
  8. Avatar

    ANDRE L M P

    Excelente didatica e praticas para aprender fazendo. Muito bom.

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  9. Avatar

    QZ

    The course is well structured. However, Google moves really fast when creating new products hence there is some confusion when running the labs. That being said, it’s amazing that qwiklabs is utilising essentially a live environment for practice.

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  10. Avatar

    Alireza K

    The labs were completed, I need to only run them. which I think I couldn’t engage myself

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  11. Avatar

    Sachin T

    This was an awesome journey while learning the process of training the machine learning model on GCP

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  12. Avatar

    Yash K S

    good insight to GCP, even learned new concept of ML

    Helpful(0) Unhelpful(0)You have already voted this
  13. Avatar

    Yash K S

    good insight to GCP, even learned new concept of ML

    Helpful(0) Unhelpful(0)You have already voted this
  14. Avatar

    Vinicius P A

    Nice recap of all previously concepts and a great hands on with ML Engine.

    Helpful(0) Unhelpful(0)You have already voted this
  15. Avatar

    Vinicius P A

    Nice recap of all previously concepts and a great hands on with ML Engine.

    Helpful(0) Unhelpful(0)You have already voted this
  16. Avatar

    Mohamad A

    It is good course it contains all required to understand what you need to make and finalize and I learn all steps needed to make model ML app with google. However, there some notes sometimes I miss understand in labs there moving in code fast without explain maybe the labs for us to read later and at the end thanks to share with us your expertise and information

    Helpful(0) Unhelpful(0)You have already voted this
  17. Avatar

    Mohamad A

    It is good course it contains all required to understand what you need to make and finalize and I learn all steps needed to make model ML app with google. However, there some notes sometimes I miss understand in labs there moving in code fast without explain maybe the labs for us to read later and at the end thanks to share with us your expertise and information

    Helpful(0) Unhelpful(0)You have already voted this
  18. Avatar

    Rupam P

    it was really an awesome Experience

    Helpful(0) Unhelpful(0)You have already voted this
  19. Avatar

    Rupam P

    it was really an awesome Experience

    Helpful(0) Unhelpful(0)You have already voted this
  20. Avatar

    Pablo M P

    This course is not very practical nor very well explained. The topic is very interesting but it is not delivered clear enough.

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  21. Avatar

    Pablo M P

    This course is not very practical nor very well explained. The topic is very interesting but it is not delivered clear enough.

    Helpful(0) Unhelpful(0)You have already voted this
  22. Avatar

    Mr. J

    great survey of it. optional labs should be mandatory I think. Also it would be nice to have a end to end walk through in summation. another option to complete the mental model it to map notebook sections to the GCP infrastructure in a presentation. I wonder about cloning the gcp repo locally to use it as a local template to further study. In other words I fire it up in my account later. or I access GCP via anaconda jupiter. Just wondering.

    Helpful(0) Unhelpful(0)You have already voted this
  23. Avatar

    Mr. J

    great survey of it. optional labs should be mandatory I think. Also it would be nice to have a end to end walk through in summation. another option to complete the mental model it to map notebook sections to the GCP infrastructure in a presentation. I wonder about cloning the gcp repo locally to use it as a local template to further study. In other words I fire it up in my account later. or I access GCP via anaconda jupiter. Just wondering.

    Helpful(0) Unhelpful(0)You have already voted this
  24. Avatar

    Muhammad Z H

    learned alot

    Helpful(0) Unhelpful(0)You have already voted this
  25. Avatar

    Muhammad Z H

    learned alot

    Helpful(0) Unhelpful(0)You have already voted this
  26. Avatar

    Subham S

    Awesome tutorial

    Helpful(0) Unhelpful(0)You have already voted this
  27. Avatar

    Subham S

    Awesome tutorial

    Helpful(0) Unhelpful(0)You have already voted this
  28. Avatar

    Prasenjit P

    Good !!

    Helpful(0) Unhelpful(0)You have already voted this
  29. Avatar

    Prasenjit P

    Good !!

    Helpful(0) Unhelpful(0)You have already voted this
  30. Avatar

    Shubham M

    It’s great if one wants to know actual deployment pipeline.

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  31. Avatar

    Shubham M

    It’s great if one wants to know actual deployment pipeline.

    Helpful(0) Unhelpful(0)You have already voted this
  32. Avatar

    Pranshu A

    Learned a lot from this course on Data Preprocessing to Deploying a model and making predictions.

    Helpful(0) Unhelpful(0)You have already voted this
  33. Avatar

    Pranshu A

    Learned a lot from this course on Data Preprocessing to Deploying a model and making predictions.

    Helpful(0) Unhelpful(0)You have already voted this
  34. Avatar

    Naman M

    great

    Helpful(0) Unhelpful(0)You have already voted this
  35. Avatar

    Naman M

    great

    Helpful(0) Unhelpful(0)You have already voted this
  36. Avatar

    Lanhsin L

    It’s good to quickly overview ML. But some syntax is not so friendly to understand if I didn’t see the manual .

    Helpful(0) Unhelpful(0)You have already voted this
  37. Avatar

    Lanhsin L

    It’s good to quickly overview ML. But some syntax is not so friendly to understand if I didn’t see the manual .

    Helpful(0) Unhelpful(0)You have already voted this
  38. Avatar

    Pierre L M

    Good course overall, maybe the labs are too short or too easy, maybe it would be better to have a link to a doc with some related tasks. Two labs were missing, one I could see while looking around in the notebooks, but the last one I didn’t, i would have appreciated since I don’t know flask yet

    Helpful(0) Unhelpful(0)You have already voted this
  39. Avatar

    Pierre L M

    Good course overall, maybe the labs are too short or too easy, maybe it would be better to have a link to a doc with some related tasks. Two labs were missing, one I could see while looking around in the notebooks, but the last one I didn’t, i would have appreciated since I don’t know flask yet

    Helpful(0) Unhelpful(0)You have already voted this
  40. Avatar

    Manu G

    Course covers the fundamentals of GCP with TF. Although the labs don’t require much of a coding, and the ones which require have a poor structure because after each subtask say Task 1, you should be able to see if your code outputs the correct output, so for that they should have included some testcases. Also in the training part, quicklab has limit of 2 hrs, but training takes about 40 50 mins for a lower input size, and that lab requires to run training 3 times, so I was forced to just trim down the input size to fit all tasks within the lab time limit.

    Helpful(0) Unhelpful(0)You have already voted this
  41. Avatar

    Manu G

    Course covers the fundamentals of GCP with TF. Although the labs don’t require much of a coding, and the ones which require have a poor structure because after each subtask say Task 1, you should be able to see if your code outputs the correct output, so for that they should have included some testcases. Also in the training part, quicklab has limit of 2 hrs, but training takes about 40 50 mins for a lower input size, and that lab requires to run training 3 times, so I was forced to just trim down the input size to fit all tasks within the lab time limit.

    Helpful(0) Unhelpful(0)You have already voted this
  42. Avatar

    Nattachai T

    Most of this course lack the actual coding so I dont think I get much actual experience from this course

    Helpful(0) Unhelpful(0)You have already voted this
  43. Avatar

    Nattachai T

    Most of this course lack the actual coding so I dont think I get much actual experience from this course

    Helpful(0) Unhelpful(0)You have already voted this
  44. Avatar

    Ayush T

    Without a doubt, a great recap of the last specialization.

    Helpful(0) Unhelpful(0)You have already voted this
  45. Avatar

    Ayush T

    Without a doubt, a great recap of the last specialization.

    Helpful(0) Unhelpful(0)You have already voted this
  46. Avatar

    Elthon D F

    Excepcional!!!

    Helpful(0) Unhelpful(0)You have already voted this
  47. Avatar

    Elthon D F

    Excepcional!!!

    Helpful(0) Unhelpful(0)You have already voted this
  48. Avatar

    Jia

    Good to work in a real world environment, though not much hands on work (most code has already been provided). Still not familiar with API’s details.

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  49. Avatar

    Marco M

    Very good course

    Helpful(0) Unhelpful(0)You have already voted this
  50. Avatar

    Jia

    Good to work in a real world environment, though not much hands on work (most code has already been provided). Still not familiar with API’s details.

    Helpful(0) Unhelpful(0)You have already voted this
  51. Avatar

    Marco M

    Very good course

    Helpful(0) Unhelpful(0)You have already voted this
  52. Avatar

    Sebastian S

    Really enjoyed the labs

    Helpful(0) Unhelpful(0)You have already voted this
  53. Avatar

    Sebastian S

    Really enjoyed the labs

    Helpful(0) Unhelpful(0)You have already voted this
  54. Avatar

    pavan b g

    woww, great learning.

    Helpful(0) Unhelpful(0)You have already voted this
  55. Avatar

    pavan b g

    woww, great learning.

    Helpful(0) Unhelpful(0)You have already voted this
  56. Avatar

    Mahendra S C

    great course must learn

    Helpful(0) Unhelpful(0)You have already voted this
  57. Avatar

    Mahendra S C

    great course must learn

    Helpful(0) Unhelpful(0)You have already voted this
  58. Avatar

    Nikhileshkumar I

    Course content is good. But Coursera policy is bad. After completion of the course, only a 1 month extension is given to revise it after that. You cant see the content. This is very bad. It would be better to download the videos. How are you supposed to revise the contents? After that, you have to pay again. I will think twice before going for any course with coursera.

    Helpful(0) Unhelpful(0)You have already voted this
  59. Avatar

    Nikhileshkumar I

    Course content is good. But Coursera policy is bad. After completion of the course, only a 1 month extension is given to revise it after that. You cant see the content. This is very bad. It would be better to download the videos. How are you supposed to revise the contents? After that, you have to pay again. I will think twice before going for any course with coursera.

    Helpful(0) Unhelpful(0)You have already voted this
  60. Avatar

    Gunjan P

    awesome learning experience fro the teacher from google. thanks to coursera and google for providing me such a good lesson which will be beneficial for my upcoming future and research work

    Helpful(0) Unhelpful(0)You have already voted this
  61. Avatar

    Gunjan P

    awesome learning experience fro the teacher from google. thanks to coursera and google for providing me such a good lesson which will be beneficial for my upcoming future and research work

    Helpful(0) Unhelpful(0)You have already voted this
  62. Avatar

    Tariq

    Excellent! the great part of this course is access to labs where you can have hands on experience without any cost.

    Helpful(0) Unhelpful(0)You have already voted this
  63. Avatar

    Tariq

    Excellent! the great part of this course is access to labs where you can have hands on experience without any cost.

    Helpful(0) Unhelpful(0)You have already voted this
  64. Avatar

    Grzegorz K

    Course is very good, a lot of examples and high value videos

    Helpful(0) Unhelpful(0)You have already voted this
  65. Avatar

    Han L

    Good content, but flawed lab design. The labs are designed to run in sequence and have dependencies from previous labs. Those dependencies break with different sessions of Qwiklabs.

    Helpful(0) Unhelpful(0)You have already voted this
  66. Avatar

    Grzegorz K

    Course is very good, a lot of examples and high value videos

    Helpful(0) Unhelpful(0)You have already voted this
  67. Avatar

    Han L

    Good content, but flawed lab design. The labs are designed to run in sequence and have dependencies from previous labs. Those dependencies break with different sessions of Qwiklabs.

    Helpful(0) Unhelpful(0)You have already voted this
  68. Avatar

    Luis B

    This is a very good introduction, I regret not being able to do optional lab 7 (no qwiklabs) an seing the app live

    Helpful(0) Unhelpful(0)You have already voted this
  69. Avatar

    Luis B

    This is a very good introduction, I regret not being able to do optional lab 7 (no qwiklabs) an seing the app live

    Helpful(0) Unhelpful(0)You have already voted this
  70. Avatar

    Chetan S

    Amazing!! learning a lot!!!

    Helpful(0) Unhelpful(0)You have already voted this
  71. Avatar

    Chetan S

    Amazing!! learning a lot!!!

    Helpful(0) Unhelpful(0)You have already voted this
  72. Avatar

    Brandon T

    I appreciate the content being on github but the course had many technical difficulties on GCP. Much of the content in videos was in python2.

    Helpful(0) Unhelpful(0)You have already voted this
  73. Avatar

    Brandon T

    I appreciate the content being on github but the course had many technical difficulties on GCP. Much of the content in videos was in python2.

    Helpful(0) Unhelpful(0)You have already voted this
  74. Avatar

    charles l

    Spent more time with Google tech support trouble shooting why their courses didn’t work, than I did on machine learning…

    Helpful(0) Unhelpful(0)You have already voted this
  75. Avatar

    charles l

    Spent more time with Google tech support trouble shooting why their courses didn’t work, than I did on machine learning…

    Helpful(0) Unhelpful(0)You have already voted this
  76. Avatar

    AMAN V

    The labs could have been a bit more useful.

    Helpful(0) Unhelpful(0)You have already voted this
  77. Avatar

    AMAN V

    The labs could have been a bit more useful.

    Helpful(0) Unhelpful(0)You have already voted this
  78. Avatar

    Jeffrey G

    Hits the sweet spot of not trying to teach you model development or TF but still shows how to integrate with the GCP mindset.

    Helpful(0) Unhelpful(0)You have already voted this
  79. Avatar

    Jeffrey G

    Hits the sweet spot of not trying to teach you model development or TF but still shows how to integrate with the GCP mindset.

    Helpful(0) Unhelpful(0)You have already voted this
  80. Avatar

    MichaB M

    More explanation and digging deeper into code would be welcomed

    Helpful(0) Unhelpful(0)You have already voted this
  81. Avatar

    Michal M

    More explanation and digging deeper into code would be welcomed

    Helpful(0) Unhelpful(0)You have already voted this
  82. Avatar

    Muhammad S S

    The course is very well managed and very well delivered. The labs gave an opportunity to learn the course from implementation point of view.

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  83. Avatar

    Muhammad S S

    The course is very well managed and very well delivered. The labs gave an opportunity to learn the course from implementation point of view.

    Helpful(0) Unhelpful(0)You have already voted this
  84. Avatar

    Michael H

    Notebooks for labs would not open sometimes. They would just spin and I wouldnt be able to open a new instances (using chrome incognito).

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  85. Avatar

    Roman V

    Very practical course. I recommend it to people who already has good ML background and know how ML algorithms work. It is a great practical introduction on how to quickly build and deploy your model in GCP

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  86. Avatar

    Immad M K

    Nice course for practical implementation of Machine Learning.

    Helpful(0) Unhelpful(0)You have already voted this
  87. Avatar

    Wanqiong P

    The Lab tests could be more interactive, and the tests could have more questions.

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  88. Avatar

    Julio C M L

    Gooood

    Helpful(0) Unhelpful(0)You have already voted this
  89. Avatar

    khairul a n i h

    thanks for great course

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  90. Avatar

    Ahmad A R A

    Excellent

    Helpful(0) Unhelpful(0)You have already voted this
  91. Avatar

    yannick t

    Impressive!

    Helpful(0) Unhelpful(0)You have already voted this
  92. Avatar

    Muhammad J

    Practical and succinct!

    Helpful(0) Unhelpful(0)You have already voted this
  93. Avatar

    Hanifan R N

    Its overall good, but still need some improvement on the lab section where the code need to be updated.

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  94. Avatar

    Dhanesh P

    Interchanging Tutors and many repo files made it bit complex

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  95. Avatar

    Micael F

    Nice.

    Helpful(0) Unhelpful(0)You have already voted this
  96. Avatar

    Micael F

    Nice.

    Helpful(0) Unhelpful(0)You have already voted this
  97. Avatar

    Rahulkumar S

    The course content is rich and easy to understand. The instructors are also awesome and the quick labs are very helpful to understand the concepts in the practical world.

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