AM
Mar 11, 2021
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
Feb 1, 2021
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.
创建者 Martin S
•Feb 12, 2022
Videos are good, a lab was initially broken but fixed in a few days.
创建者 Uday K S
•Jan 29, 2021
Very good learning platform for Machine Learning Fundamentals
创建者 Deborishi G
•Mar 11, 2021
Thank you for this opportunity, Google and Training Team!
创建者 khushi
•Mar 4, 2021
its an amazing experience to learn about google cloud
创建者 Reza B
•Apr 11, 2021
Simply a GREAT COURSE, congrats to its designers!!
创建者 Huda M
•Jan 30, 2021
enlighting course, I really enjoyed it
创建者 Shashanka M
•Feb 10, 2021
Somewhat more beginner friendly
创建者 rami k
•Jan 17, 2021
Very nice and smart
创建者 asif m
•Feb 19, 2021
very informative
创建者 Nur C
•Oct 4, 2021
Great course !!
创建者 Akshay W
•Jan 29, 2021
Very Satisfied
创建者 Sathish K T N
•Jan 22, 2021
nice experince
创建者 Harsh S
•Jan 30, 2021
great courses
创建者 Tomy D S
•Feb 17, 2021
nice course
创建者 Ghanshyam J
•Jan 29, 2021
nice course
创建者 vaka j
•Jan 29, 2021
good great
创建者 ABHIJIT B
•Feb 19, 2021
VERY GOOD
创建者 thomas
•May 17, 2021
super
创建者 Marcio D
•Mar 30, 2021
great
创建者 Dr. S R
•Jun 26, 2021
good
创建者 GOWTHAM G K
•Feb 6, 2021
good
创建者 HARIRAM S
•Feb 6, 2021
good
创建者 Avulla M
•Jan 26, 2021
good
创建者 Vivek S
•Jun 12, 2021
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!!
创建者 Lavi S
•Feb 22, 2021
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.