RL
4.0Reviewed Jan 5, 2022
It's ok. There are example notebooks to understand the code. The pricing part is missing.
The content is decent. But the labs are pretty broken, not well designed & maintained
Machine Learning Operations (MLOps): Getting Started
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models. This course is primarily intended for the following participants: Data Scientists looking to quickly go from machine learning prototype to production to deliver business impact. Software Engineers looking to develop Machine Learning Engineering skills. ML Engineers who want to adopt Google Cloud for their ML production projects. >>> 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 <<<
Status: Machine Learning
Status: MLOps (Machine Learning Operations)
IntermediateCourse4 hours
Featured reviews
SC
5.0Reviewed Jul 6, 2021
Well designed course with Qwiklabs hands-on experience, awesome learning. Thanks to Google Cloud Team and Coursera
DM
5.0Reviewed 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.
PA
5.0Reviewed Feb 22, 2021
VERY HELPFUL AND KNOWLEDGE BASED COURSE. THANKS TO ALL THE INTRUCTORS.
SR
4.0Reviewed Feb 14, 2021
It is a good designed course, but I would prefer to have basic knowledge of Machine learning and data science in order to understand this course even much better.
EC
5.0Reviewed Dec 5, 2024
Some of the instructions in the Lab need to be updated. Great course!!!
JM
4.0Reviewed Dec 31, 2020
The content related to MLOps on GCP is quite good. If the labs were improved slightly to remove some of the bugs that are commonly posted in the message boards, this would be a 5 star.
JS
4.0Reviewed Jul 16, 2023
Good starter on basic MLOps on GCP for those who want a quick dive and a hands on project
AK
4.0Reviewed Feb 20, 2021
Loved the content, labs, and regularly intervened quiz. The only suggestion is that, for Juniper Labs, a detailed video solution would have added more value to this course.
AM
5.0Reviewed 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.
DB
5.0Reviewed Jan 29, 2021
excellent experience. thank you very much coursera and google to give the oppurtunity to get certificate free.
CS
4.0Reviewed Jan 30, 2021
I think there should be more content about AIML can be better choice or preferable.Otherwise all the things are okay I enjoyed this course and learn a lot.ThankYou So much.
All reviews
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Ruhua Jiang
2.0
Reviewed Dec 8, 2020Satrio Wicara Putra
1.0
Reviewed Dec 17, 2020Qwiklabs does not work!!
Arthur Jochems
2.0
Reviewed Dec 8, 2020There's a few things underwhelming about this course. First, GCP has made MLops very complicated, technical and cumbersome. Since you would need to work with this tech on a regular basis, you really don't want this. Second, the tutorials are mostly challenging due to linux. The tutorials are also buggy and setting up the cloud resources takes a lot of time. Overall, not that happy with this course or the subject mater.
Joana Matos
2.0
Reviewed Jan 4, 2021The qwiklabs have many issues, and due to the limited amount of tries I was not able to complete the course.
Kshitiz Rimal
1.0
Reviewed Dec 30, 2020By far the worst experience. Videos and explanations are really good but all those goodness are killed by the Qwiklabs experience. Labs are frustrating because they don't simply work, not because you did something wrong. I would like to urge the team behind this course to put some effort and time fixing those labs and answer to the questions raised by the learners in discussion forums. By copy pasting the readymade answer to email qwiklabs support team won't help at all.
Hugo Perrier
3.0
Reviewed Dec 31, 2020The Labs could be improved (bugs and clarity)
Jon Maurer
4.0
Reviewed Jan 1, 2021The content related to MLOps on GCP is quite good. If the labs were improved slightly to remove some of the bugs that are commonly posted in the message boards, this would be a 5 star.
Peng Lee
4.0
Reviewed Dec 12, 2020Course content was good. However, many of the Qwiklabs had bugs, resulting in not being able to complete the course with a grade of 100%.
nerisha s
1.0
Reviewed Nov 30, 2020Accent is difficult to understand. Speaks to quickly. Cannot read subtitles and course content at the same time.
Artur Yakimovich
1.0
Reviewed Jan 11, 2021Some labs are impossible to complete due to incompatibility with github. Github requires verification email.
Tarun Kumar
5.0
Reviewed Feb 19, 2021This was a good course along with google qwiklab which guide you through out the lab which makes a enrolled person a successful learner .
Surachart Opun
5.0
Reviewed Nov 12, 2020Great course to start for learning about MLOps. However, I hope there will have more videos to explain details on LABs.
Dmitriy
5.0
Reviewed Dec 10, 2020I liked it. Made me realize how much of a pain MLOps really is.
Walter Hoekstra
3.0
Reviewed Sep 8, 2021while this course teaches some useful skills, in particular how to to offload ML workloads to GCP, and introduces Kubeflow well, it doesn't go into enough depth to really let the students master the material. It doesn't help that Kubeflow (and its GCP implementation) are fundamentally fairly complicated technologies that compete with other, more mature (but less specialized) tools like Airflow. All in all, a good starting point, but don't expect to master the material - further study will be required. This course only scratches the surface.
João Fábio Scurçoni
1.0
Reviewed Jul 30, 2022Finish the course , and need to pay for the certificate .Bad Way for Coursera like goes from EDX .
Rob L'Heureux
1.0
Reviewed Oct 21, 2023A neverending stream of jargon and self-promotion with occasional learning
zeroone_ai
1.0
Reviewed Apr 28, 2021quiklabs always have a trouble when I try this cource..
Priyanka Avhad
5.0
Reviewed Feb 23, 2021VERY HELPFUL AND KNOWLEDGE BASED COURSE. THANKS TO ALL THE INTRUCTORS.
Anshumaan Kumar Prasad
4.0
Reviewed Jan 16, 2021Some Labs isn't working properly
Yağızhan Arslan Akıncı
2.0
Reviewed Feb 7, 2022Videos are nice and good for learning new perspectives but there is a huge problem in this course. Labs (required to complete if you want certificate) are bugy and for example i need to wait for one lab problem to be solved if i want my certificate (which is going on for more than 2 weeks as i can see in forums). Overall, good quality videos but unexpectedly very poor technical management.