Duke University
MLOps Platforms: Amazon SageMaker and Azure ML
Duke University

MLOps Platforms: Amazon SageMaker and Azure ML

This course is part of MLOps | Machine Learning Operations Specialization

Taught in English

Some content may not be translated

Noah Gift
Alfredo Deza

Instructors: Noah Gift

4,268 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.8

(27 reviews)

Advanced level

Recommended experience

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

What you'll learn

  • Apply exploratory data analysis (EDA) techniques to data science problems and datasets.

  • Build machine learning modeling solutions using both AWS and Azure technology.

  • Train and deploy machine learning solutions to a production environment using cloud technology.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

17 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.8

(27 reviews)

Advanced level

Recommended experience

30 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 MLOps | Machine Learning Operations 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 5 modules in this course

This week you will learn how to build data engineering solutions on AWS and apply it by building a data engineering pipeline with AWS Step Functions and AWS Lambda.

What's included

16 videos15 readings4 quizzes2 discussion prompts1 ungraded lab

This week you will compose data engineering solutions using AWS technology and apply it by building data science notebooks.

What's included

7 videos9 readings3 quizzes4 ungraded labs

This week you will compose machine learning modeling solutions using AWS technology and apply it by building a linear regression model that runs inside a command-line tool.

What's included

12 videos11 readings4 quizzes3 ungraded labs

This week you will learn to deploy and operationalize machine learning solutions using AWS technology and apply it by fine-tuning a Hugging face model using Sagemaker Studio Lab.

What's included

14 videos12 readings3 quizzes1 ungraded lab

This week you will learn about Machine Learning certifications from the major cloud providers and how to apply them to MLOps. You will learn about services related to Machine Learning and ML Engineering tasks like AutoML and how they apply to the certifications.

What's included

15 videos7 readings3 quizzes

Instructors

Instructor ratings
4.0 (10 ratings)
Noah Gift
Duke University
40 Courses91,977 learners
Alfredo Deza
Duke University
29 Courses56,962 learners

Offered by

Duke University

Recommended if you're interested in Machine Learning

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Showing 3 of 27

3.8

27 reviews

  • 5 stars

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  • 3 stars

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  • 2 stars

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  • 1 star

    14.81%

ZZ
5

Reviewed on Apr 30, 2023

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