RG
4 juin 2021
really a great course. It'll really change your way of thinking ML in production use and will help you better understand how can you leverage the power of ML in a way that I'll really create a value
IU
5 déc. 2021
I have been involved with deep learning for more than 5 years (in academia), nevertheless learned a lot already. I am very curious about the next courses. Thanks for putting together this course!
par Sergio M C Z
•6 juin 2021
I really enjoyed the course as it did provide very practical insights and recommendations of best practices to implement ML models in the real world.
par Megan M
•28 mai 2021
This course is an excellent overview of the steps required to put ML into production. Andrew's explanations are clear, and his examples are spot on.
par Mario G R
•4 juil. 2021
The course was very enjoyable, the readings and classes give you a basic but concise approach of what it means to bring an ML system to production.
par Aswin G
•10 juin 2021
Excellent resource material to understand the problems faced when deploying ML models in production and how to handle them at each and every stage,
par Kin L K L
•1 janv. 2022
An excellent high level overview of the lifecycle of machine learning model development and deployment with a focus on business applications.
par Tyler G
•11 juin 2021
Andrew's insights are gold. He explains with clarity and has the foresight to disseminate the knowledge the community needs when we need it.
par Fernanda P G
•2 oct. 2021
Este curso pode abrir minha mente sobre várias possibilidades em IA, estou ansiosa para o próximo. Obrigada pela oportunidade de aprender.
par Athos M M
•26 juin 2022
It offers a good overview and also the possibility of completing the course in an easy way or working on more complicated exercises.
par Adarsh W
•16 sept. 2021
Excellent course to learn about data-centric approach in Machine Learning. All the ungraded labs were also informative and useful.
par Manas M
•10 juil. 2021
As always, another great course taught by Prof. Andrew. Thank you coursera/deeplearning.ai team for offering such a great course.
par Mahsut D
•30 sept. 2021
This is an axcellent introductory course in MLOps, and also for anyone who is looking for having advanced skills in AI career.
par Abdullah M
•19 mars 2022
Everthing related to mlops introduction was amazing covered and this course also gave me some key insights in the mlops field.
par Wooyong E
•2 juin 2021
Immensely useful. This course is densely packed with practical tips and provides a great overview of this nascent discipline!
par mohtaz y
•13 mars 2022
Very nice course. There are many points that are mentioned in this course that took me months to uncover on my own at work.
par d s
•23 mai 2022
Prof. Ng does it again and offers more useful tips and insight to ML production issues. Great content, highly recommended.
par Rui B
•13 oct. 2021
Years of practical experience condensed in this course. Extremely relevant material for Data Scientists / ML Engineers.
par Kiran K K
•5 déc. 2021
I would like to thank Andrew for his very practical insights in the course. I don't think I could have asked for more.
par Mario L d Á M
•19 août 2021
Excellent introduction to MLOps by Andrew Ng. Practical and clear. Love the (ungraded) labs, highly recommendable.
par Yusa L
•29 juin 2021
The material is really close to the real industrial practice. Amazing reference if doing any ML engineering work.
par Mahsa P
•20 sept. 2021
This course is a wonderful overview of different steps of a machine learning project from scoping to deployment.
par DYLAN C
•19 janv. 2022
Very interesting course for actual product implementation of Machine Learning: Andrew NG is the best master!!!
par david g
•3 janv. 2022
Even as a Data Scientist, I found this very relevant to define & get a clarity on such frameworks & processess
par Olaf S
•18 sept. 2021
The short videos made it easy to work through it fast. In addition the optional-lab tasks were really awesome.
par Dao M D
•2 sept. 2021
Great course for people who want to get the idea of putting Machine Learning notebooks' code into production!
par Kacper T
•6 juin 2021
Clear and concise. The lecturer approaches the subject with objectivity but also with immense passion for it.