Duke University
Cloud Machine Learning Engineering and MLOps
Duke University

Cloud Machine Learning Engineering and MLOps

Noah Gift

Instructor: Noah Gift

7,523 already enrolled

Included withCoursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.5

(72 reviews)

Intermediate level

Recommended experience

13 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Earn a career certificate

Add to your LinkedIn profile

Assessments

3 quizzes

Taught in English

Course

Gain insight into a topic and learn the fundamentals

4.5

(72 reviews)

Intermediate level

Recommended experience

13 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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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 quiz3 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 quiz3 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 quiz4 discussion prompts2 ungraded labs

Instructor

Instructor ratings
4.7 (17 ratings)
Noah Gift
Duke University
40 Courses117,871 learners

Offered by

Duke University

Recommended if you're interested in Cloud Computing

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4.5

72 reviews

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5

Reviewed on Oct 31, 2022

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Reviewed on Jun 1, 2022

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5

Reviewed on Feb 7, 2022

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