JS
2021년 9월 13일
Excellent content and lectures from Mr. Robert . Thank you very much Sir for the excellent way of explaining these difficult topics . Thank you !!!
MB
2021년 10월 20일
I enjoyed this course a lot. It gave me a lot of ideas on how I can improve my models and make my workflow more efficient. Thank you.
교육 기관: Folkert S
•2021년 9월 18일
I thought this course was ok. On the one hand, the theory that is taught is quite general and trivial, while on the other hand, the technical focus is mostly on Google's tools and deep learning. As getting machine learning to production is an advanced task and requires a broad set of skills, I would've, for instance, expected this course to be more on structured data. Also, most of the labs, especially the GCP ones, feel just like copying and pasting some commands, it's not that challenging and therefore I didn't learn a lot there.
교육 기관: Panagiotis S
•2022년 1월 25일
Poor content on this course as well. A bit of intermediate machine learning concepts that we all have seen a thousand times and a bit of mlops. The instructor was always always reading only whats in the slide. Graded assignments on GCP were just copy/pasting the code and had no difficulty or needed any critical thinking or skills. Again focused ONLY on Tensorflow libraries that are incompatible with models from other libraries like Pytorch.
교육 기관: Peter W
•2021년 8월 9일
Covers a lot of content at a high level. One slight criticism is that the graded exercises focused on Google cloud and didnt require much thought. The ungraded labs on the other hand were quite interesting.
교육 기관: Xavier D
•2021년 10월 13일
I find this course extremely hard to follow, some main and tricky concepts are only covered by a mere sentence in the lecture.
교육 기관: Ashwani K
•2021년 8월 7일
Some of the topics were too advanced and instructor assumes that we know those basics. It felt rush through little bit and more of reading slides then explaining at many places
교육 기관: Roger S P M
•2021년 9월 5일
So Boring!
교육 기관: Hitesh K
•2021년 7월 18일
So far the most informative course in this specialization. This course has actually taught me how different is ML in production than doing simple Ml stuff on notebook for academic or research purpose. You get to see the bigger picture, i.e, different and bigger constraints that needs to be addressed for deploying any model to be on systems, specially edge devices.
교육 기관: Cosmin K
•2021년 8월 16일
Great material, insigthful notebooks and a valuable review of numerous concepts and tools! The course set me on track with steps to take and pitfalls to evoid. Thank you! Now is practice and continous learning from my part.
교육 기관: Kiran K
•2021년 7월 22일
Good But More practical needed with theory
교육 기관: Thành H Đ T
•2021년 8월 24일
wow, Its very good
교육 기관: Hieu D T
•2021년 8월 15일
A bit dependent on GCP, took me quite a decent amount of time to do network setting. You should use your own internet, do not use one behind corporate proxy like I did. Materials and guides are great.
교육 기관: Andrei
•2021년 9월 9일
need to improve the explanation of topics
교육 기관: Stefan L
•2022년 2월 12일
While this course conveys lots of interesting and relevant knowledge, it's labs do not. In fact, they are usually just copy/paste tasks based on existing GCP tutorials leveraging qwiklabs.
교육 기관: James A
•2021년 12월 7일
This course gives a very good overview of this topic. Very relevant to my day-to-day work (not academic, or too focused on research, etc.), it is well presented with good context and examples. Obviously a lot of hard work went into creating this course. Good learning experience, +1, thanks!
교육 기관: Jonathan S R P
•2021년 9월 28일
I strongly recommend this course to anyone interested in MlOps and how to manage a ML pipeline in production, i learn a lot about pipelines, distillation and interpretable models. Can wait to put all this knowledge in practice :)
교육 기관: Travis H
•2021년 12월 19일
Consistent with the other courses in the specialization for MLOps -- very insightful with good coverage of content that is relevant to the pipelines and automation requirements for proper production support.
교육 기관: Umberto S
•2021년 8월 29일
Great course! One of the most clear and extended courses by DeepLearning.ai. I think It covers in an excellent way all topics to understand what MLOps is and how to approach it in the right way.
교육 기관: Jitendra S
•2021년 9월 14일
Excellent content and lectures from Mr. Robert . Thank you very much Sir for the excellent way of explaining these difficult topics . Thank you !!!
교육 기관: Melanie J B
•2021년 10월 21일
I enjoyed this course a lot. It gave me a lot of ideas on how I can improve my models and make my workflow more efficient. Thank you.
교육 기관: Nhan N
•2021년 9월 21일
This course is helpful. Enrich my knowledge with data concepts, optimal high-performance model tools and model debugging.
교육 기관: Mario T
•2021년 9월 5일
Outstanding! Exceptionally informative. Makes me look way aheady how to implement ML pipelines, and how to analyze them.
교육 기관: Ankit P
•2022년 4월 26일
It was really a wonderful and amazing course. I really learnt about what all goes in creating a successful ML project
교육 기관: vadim m
•2021년 8월 4일
Covers a lot of hot topics related to ML Modeling pipelines in production with great breadth and depth.
교육 기관: Reza M
•2021년 9월 14일
This is very helpful course to understand the life of model specially after its deployment.
교육 기관: Cees R
•2021년 10월 15일
This course filled in some black holes in my knowledge and I found it very helpful.