Duke University
Cloud Machine Learning Engineering and MLOps
Duke University

Cloud Machine Learning Engineering and MLOps

Noah Gift

Instructor: Noah Gift

8,039 already enrolled

Included with Coursera Plus

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
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

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

Placeholder

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
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

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)
Noah Gift
Duke University
40 Courses145,868 learners

Offered by

Duke University

Recommended if you're interested in Cloud Computing

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 77

4.5

77 reviews

  • 5 stars

    66.23%

  • 4 stars

    18.18%

  • 3 stars

    10.38%

  • 2 stars

    5.19%

  • 1 star

    0%

YA
5

Reviewed on Feb 7, 2022

AD
5

Reviewed on Oct 31, 2022

AY
4

Reviewed on Jun 1, 2022

New to Cloud Computing? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions