Chevron Left
Вернуться к Cloud Machine Learning Engineering and MLOps

Отзывы учащихся о курсе Cloud Machine Learning Engineering and MLOps от партнера Университет Дьюка

4.6
звезд
Оценки: 49

О курсе

Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications. Then, you will learn to use AutoML to solve problems more efficiently than traditional machine learning approaches alone. Finally, you will dive into emerging topics in Machine Learning including MLOps, Edge Machine Learning and AI APIs. This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you will build a Flask web application that serves out Machine Learning predictions....

Лучшие рецензии

YA

7 февр. 2022 г.

Amazing teacher and perfect mixture of necessary informations. It was a privilage to learn from him, i recommend this course for every ML Engineer.

AD

31 окт. 2022 г.

Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples

Фильтр по:

1–8 из 8 отзывов о курсе Cloud Machine Learning Engineering and MLOps

автор: Yağızhan A A

•

8 февр. 2022 г.

Amazing teacher and perfect mixture of necessary informations. It was a privilage to learn from him, i recommend this course for every ML Engineer.

автор: Aaron D

•

1 нояб. 2022 г.

Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples

автор: Sergio A C G

•

9 июля 2021 г.

Excellent course, very concise but complete, if possible a second version would be ideal

автор: Pardon S C

•

16 июля 2022 г.

Great course

автор: 谭中意

•

19 сент. 2021 г.

cool course

автор: Ivan O C

•

27 июня 2021 г.

Nice content and complete due that the course show the three main/popular options for MLOPs solutions: AWS, GCP and Azure... I prefer explanations using slides due they are more systematic and when is possible try to avoid some demos in an spontaneous way...

автор: Alson Y

•

2 июня 2022 г.

Great course to know practical ideas and concepts.

автор: dumebi j

•

17 нояб. 2021 г.

good

Coursera Footer

Начните карьеру или продвиньтесь по карьерной лестнице

Популярные курсы и сертификации

Популярные коллекции и статьи

Получите диплом или сертификат онлайн

Coursera

Сообщество

Еще

Учитесь, где угодно
Placeholder
Placeholder
Placeholder