返回到 Cloud Machine Learning Engineering and MLOps
學生對 杜克大学 提供的 Cloud Machine Learning Engineering and MLOps 的評價和反饋
16 個評分
課程概述
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.
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1 - Cloud Machine Learning Engineering and MLOps 的 4 個評論（共 4 個）
創建者 Sergio A C G
•2021年7月9日
Excellent course, very concise but complete, if possible a second version would be ideal
創建者 谭中意
•2021年9月19日
cool course
創建者 Ivan O C
•2021年6月27日
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...
創建者 ENUONYE D J
•2021年11月17日
good
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