Отзывы учащихся о курсе MLOps (Machine Learning Operations) Fundamentals от партнера Google Cloud
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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.
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 96 отзывов о курсе MLOps (Machine Learning Operations) Fundamentals
автор: Deborishi G
•Thank you for this opportunity, Google and Training Team!
автор: khushi
•its an amazing experience to learn about google cloud
автор: Reza B
•Simply a GREAT COURSE, congrats to its designers!!
автор: Huda M
•enlighting course, I really enjoyed it
автор: Shashanka M
•Somewhat more beginner friendly
автор: rami k
•Very nice and smart
автор: asif m
•very informative
автор: Nur C
•Great course !!
автор: Akshay W
•Very Satisfied
автор: Sathish K T N
•nice experince
автор: Harsh S
•great courses
автор: Tomy D S
•nice course
автор: Ghanshyam J
•nice course
автор: vaka j
•good great
автор: ABHIJIT B
•VERY GOOD
автор: thomas
•super
автор: Marcio D
•great
автор: Dr. S R
•good
автор: GOWTHAM G K
•good
автор: HARIRAM S
•good
автор: Avulla M
•good
автор: Vivek S
•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
•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.
автор: Kenneth H
•Enjoyed the course and it is very interesting. Although there is no formal "prerequisite" for the course, you will get much more if you have various basic concepts in AI/ML, python, Jupyter notebook, CI/CD & Google Cloud Build, K8S & GKE, YAML, Github - especially for the labs, I really enjoy them. You might see some people saying that they hit minor problems - in fact, those minor problems are also part of the learning.
автор: Ronit S
•It was amazing course and content. No doubt that you are best content provider for the study material. you are feeling the gap between industry and university. As a learner i also faced some difficulty which you need to review it once in "QUICKLABS" cluster creation.
THANKS :)
Ronit Sagar
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