Отзывы учащихся о курсе MLOps (Machine Learning Operations) Fundamentals от партнера Google Cloud
О курсе
Лучшие рецензии
AM
11 мар. 2021 г.
The whole process of building the Kubeflow pipelines for MLOPs including the configuration part (what does into the Dockerfile, cloud build) has been explained fully.
DM
1 февр. 2021 г.
Thank You , Coursera & Google, It was great session & learn some practical Aspects & fundamentals of ML. I hope it will help me in the future. Thank You.
26–50 из 103 отзывов о курсе MLOps (Machine Learning Operations) Fundamentals
автор: Martin S
•12 февр. 2022 г.
Videos are good, a lab was initially broken but fixed in a few days.
автор: Uday K S
•29 янв. 2021 г.
Very good learning platform for Machine Learning Fundamentals
автор: Deborishi G
•11 мар. 2021 г.
Thank you for this opportunity, Google and Training Team!
автор: khushi
•4 мар. 2021 г.
its an amazing experience to learn about google cloud
автор: Reza B
•11 апр. 2021 г.
Simply a GREAT COURSE, congrats to its designers!!
автор: Huda M
•30 янв. 2021 г.
enlighting course, I really enjoyed it
автор: Shashanka M
•10 февр. 2021 г.
Somewhat more beginner friendly
автор: rami k
•17 янв. 2021 г.
Very nice and smart
автор: asif m
•19 февр. 2021 г.
very informative
автор: Nur C
•4 окт. 2021 г.
Great course !!
автор: Akshay W
•29 янв. 2021 г.
Very Satisfied
автор: Sathish K T N
•22 янв. 2021 г.
nice experince
автор: Harsh S
•30 янв. 2021 г.
great courses
автор: Tomy D S
•17 февр. 2021 г.
nice course
автор: Ghanshyam J
•29 янв. 2021 г.
nice course
автор: vaka j
•29 янв. 2021 г.
good great
автор: ABHIJIT B
•19 февр. 2021 г.
VERY GOOD
автор: thomas
•17 мая 2021 г.
super
автор: Marcio D
•30 мар. 2021 г.
great
автор: Dr. S R
•26 июня 2021 г.
good
автор: GOWTHAM G K
•6 февр. 2021 г.
good
автор: HARIRAM S
•6 февр. 2021 г.
good
автор: Avulla M
•26 янв. 2021 г.
good
автор: Vivek S
•12 июня 2021 г.
MLOps fundamentals is a good introduction, great teachers! The only place that I feel needs improvement is the lab - it would be great if there is more time to do the exercises, the lab gets timed out at 2 hrs. Sometimes the lab instruction are not very clear. Also I would be happier If the instructors went through other build tools like Bazel, etc.... This course helped organize ML workflows and make it easier to experiment, deploy and iterate over model dev.... Overall a very good course!!
автор: Lavi S
•22 февр. 2021 г.
github repo used throughout the code will probably serve as a good template for my future projects. The quizzes are on the easy end. The labs can be achieved by a series of copy+paste. Some give the full points for just opening the notebooks without even running them (same set of steps in two of the labs that only differ in notebook content). Feels like I have a lot to go before I'll be able to use these tools for my own tasks. Nevertheless - got to start somewhere.
Coursera Footer
