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
8,076 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.5
(77 reviews)
Intermediate level
Recommended experience
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
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
This week, you will learn about the methodologies involved in Machine Learning Engineering. By the end of the week, you will be able to develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications.
What's included
15 videos5 readings1 assignment3 discussion prompts1 ungraded lab
This week, you will learn about AutoML and how to use it to build efficient Machine Learning solutions with little to no code. These technologies include Ludwig, Google AutoML, Apple Create ML and Azure Machine Learning Studio. You will apply these solutions by using both open source and Cloud AutoML technology.
What's included
21 videos2 readings1 assignment3 discussion prompts
This week, you will learn MLOps strategies and best practices in designing Cloud solutions. Then, you will explore Edge Machine Learning and how to use AI APIs. You will apply these strategies to build a low code or no code Cloud solution that performs Natural Language Processing or Computer Vision.
What's included
22 videos3 readings1 assignment4 discussion prompts2 ungraded labs
Instructor
Instructor ratings
4.7 (17 ratings)Offered by
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4.5
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Showing 3 of 77
AY
4
Reviewed on Jun 1, 2022
Great course to know practical ideas and concepts.
AD
5
Reviewed on Oct 31, 2022
Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples
YA
5
Reviewed on Feb 7, 2022
Amazing teacher and perfect mixture of necessary informations. It was a privilage to learn from him, i recommend this course for every ML Engineer.
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