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.

Cloud Machine Learning Engineering and MLOps

Cloud Machine Learning Engineering and MLOps
This course is part of Building Cloud Computing Solutions at Scale Specialization

Instructor: Noah Gift
Access provided by Xavier School of Management, XLRI
9,452 already enrolled
Gain insight into a topic and learn the fundamentals.
87 reviews
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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3 assignments
Taught in English
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This course is part of the Building Cloud Computing Solutions at Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
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Showing 3 of 87
AY
Reviewed on Jun 1, 2022
Great course to know practical ideas and concepts.
AD
Reviewed on Oct 31, 2022
Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples
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