SL
2021年7月5日
It is one of course with the exact content required for an working professional who is already working with AWS and want to leverage the benefits of sagemaker for their ML deployment tasks
YV
2021年7月27日
Simple to learn but there are lot of takeaways which helps any data scientist or a machine learning engineer!
創建者 Pablo A B
•2021年7月5日
Gives good general overview of Pipelines. However, assignments are way too easy, which makes them not to add too much to the learning.
創建者 Mark P
•2021年9月13日
Coding exercises are a bit too structured, there isn't as much learning as I would have liked. That said, having the notebooks for reference at work is quite useful. Good introduction.
創建者 Sneha L
•2021年7月6日
It is one of course with the exact content required for an working professional who is already working with AWS and want to leverage the benefits of sagemaker for their ML deployment tasks
創建者 Israel T
•2021年6月19日
Great for introduction to the AWS Sagemaker tools. But if you really want to dive deeper on the tools, you need to add and explore other resources, since most of the codes are already provided in the exercise.
創建者 Magnus M
•2021年6月14日
The videos are excellent. The labs are way too easy, just copying some variable names.
創建者 Sanjay C
•2022年1月17日
I was a little disappointed in the courses in this specialization - the issue is that a large part of the coding was already done. In order for this course to be an "advanced" level course, the students should be asked to write their own SQL/pandas/python code for database access and data processing.
創建者 Parag K
•2021年10月22日
Detailed code walk through explaining the code would have been helpful similar how it was done in Tensorflow In Practice Specalization
創建者 Md. W A
•2022年3月27日
Unable to complete Practical Data Science Specialization because grading system does not work.
創建者 Aleksa B
•2021年11月2日
Very good course. Highly recommended.
One thing that I would add is to go more in depth about certain concepts (like pipelines) and go through a bit more complex examples in practical exercises.
Overall good job, love it, thank you.
創建者 yugesh v
•2021年7月28日
Simple to learn but there are lot of takeaways which helps any data scientist or a machine learning engineer!
創建者 RLee
•2022年7月28日
Very hands-on AWS BERT labs! Expecting more labs coming...
創建者 Janzaib M
•2022年4月17日
Very Hands On Practical Information for the Industry
創建者 The M
•2022年4月24日
Exactly the material I am looking for. Fabulous.
創建者 Ozma M
•2021年7月18日
EXcellent MLOps content, presentation, demo
創建者 Anzor G
•2021年12月27日
Great Course! Unlimited Thanks to you!
創建者 Tenzin T
•2021年9月7日
Highly recommended
創建者 John S
•2021年10月6日
This is NOT a course about BERT, it's a course about Amazon SageMaker ML Ops. I learned plenty of useful stuff about Amazon SageMaker, I learned nothing new about BERT. The content is a mixed bag - week 1 is poor quality, week 2 is good quality, week 3 is very good quality. The labs aren't great - trivial "fill-in the missing variable/term" style (which, ironically, can probably be done automatically by a BERT model nowadays ;-)
創建者 学洲 刘
•2022年2月6日
As a machine learning engineer i never met automl in my career before. This course shows me the power of automl. But the lab2 need too mucn time to traing the model, i hope the providers could add 2 hours in that assignment lab.
創建者 Alexander M
•2021年7月22日
Week 3 lab gave twice error 'Failed' and 3rd time it went without an issue. This was quite frustrating. Overall, good class. Thx.
創建者 Diego M
•2021年11月20日
It is difficult to understand completely lab exercises . Very Nice course!!
創建者 Burhanudin B
•2022年6月3日
This is amazing course
創建者 Mosleh M
•2021年8月6日
ok
創建者 Muneeb V
•2021年12月14日
The lectures video are good but there are some issues with labs. It was taking time to load and the allotted time was less than the required time for the lab. Moreover, there were access denied issues in the lab code.
創建者 Clashing P
•2021年10月8日
hope there will be code implementation examples in the lectures