4 de jun. de 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
14 de ago. de 2021
Excellent course, as always. Very well explain for both Data Sicientist, Software engineer and Manager (with some basics undertsanding of ML). One of these courses that Data Sientist should follow.
por Kattson B•
14 de ago. de 2022
It's just amazing!!
It covers a lot of concepts and practices of developing and deploying ML systems.
But we have a plus: tips from Andrew Ng experience.
por Khanh T•
12 de jul. de 2022
Very informative even if with some-experienced data scienctist. I but sill strong recommend to put the lab as compulsory since they're really helpful
por Atul P•
17 de may. de 2022
Really really worthtable to watch this and you will learn like actual practical knowledge which we used to follow in real world buisness ML problems.
por Anirudh A•
3 de may. de 2022
This course is quite informative and one of the best. Highly recommend someone who is keen to learn about Machine learning in production environment.
por Sergio M C Z•
6 de jun. de 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.
por Megan M•
28 de may. de 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.
por Mario G R•
4 de jul. de 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.
por Aswin G•
10 de jun. de 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,
por Kin L K L•
1 de ene. de 2022
An excellent high level overview of the lifecycle of machine learning model development and deployment with a focus on business applications.
por Tyler G•
11 de jun. de 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.
por Fernanda P G•
2 de oct. de 2021
Este curso pode abrir minha mente sobre várias possibilidades em IA, estou ansiosa para o próximo. Obrigada pela oportunidade de aprender.
por KIPNGENO K•
23 de jul. de 2022
This is the best introduction to MLOps that I could find. Thank you Andrew for making these concepts as simple as possible to understand.
por Athos M M•
26 de jun. de 2022
It offers a good overview and also the possibility of completing the course in an easy way or working on more complicated exercises.
por Patrick M•
7 de jul. de 2022
Excellent intro to ML in production. Andrew Ng gives very clear and practical advice around best practices across the ML lifecycle.
por Adarsh W•
16 de sep. de 2021
Excellent course to learn about data-centric approach in Machine Learning. All the ungraded labs were also informative and useful.
por Manas K M•
10 de jul. de 2021
As always, another great course taught by Prof. Andrew. Thank you coursera/deeplearning.ai team for offering such a great course.
por Dennis M•
7 de ago. de 2022
Andrew does a great job of explaining Introduction to Machine Learning in Production. The examples really augment the lectures.
por Mahsut D•
30 de sep. de 2021
This is an axcellent introductory course in MLOps, and also for anyone who is looking for having advanced skills in AI career.
por Abdullah M•
19 de mar. de 2022
Everthing related to mlops introduction was amazing covered and this course also gave me some key insights in the mlops field.
por Wooyong E•
2 de jun. de 2021
Immensely useful. This course is densely packed with practical tips and provides a great overview of this nascent discipline!
por mohtaz y•
13 de mar. de 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.
por d s•
23 de may. de 2022
Prof. Ng does it again and offers more useful tips and insight to ML production issues. Great content, highly recommended.
por Rui B•
13 de oct. de 2021
Years of practical experience condensed in this course. Extremely relevant material for Data Scientists / ML Engineers.
por Kiran K K•
5 de dic. de 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.
por Mario L d Á M•
19 de ago. de 2021
Excellent introduction to MLOps by Andrew Ng. Practical and clear. Love the (ungraded) labs, highly recommendable.