Name: Cloud Virtualization, Containers and APIs
Brand: Duke University
Availability: OnlineOnly
Rating: 4.4 (36 reviews)

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Learner Reviews & Feedback for Cloud Virtualization, Containers and APIs by Duke University

4.4

stars

132 ratings

About the Course

Welcome to the second course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn to design Cloud-native systems with the fundamental building blocks of Cloud computing. These building blocks include virtual machines and containers. You will also learn how to build effective Microservices using technologies like Flask and Kubernetes. Finally, you will analyze successful patterns in Operations including: Effective alerts, load testing and Kaizen. This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you build a containerized Flask application that is continuously deployed to a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP)....

Top reviews

Nov 10, 2022

Fantastic! Thank you.This course was an eye-opener for me.

Dec 13, 2025

Very well strctured course to learn public cloud services and how to leverage them for your applications.

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26 - 36 of 36 Reviews for Cloud Virtualization, Containers and APIs

By Bodigalla M

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Mar 17, 2023

By Umuhoza R

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Mar 21, 2022

I loved the hands-on experience!!

By Santiago B R

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Jul 30, 2023

Some content is not up to date.

By AMPALLI P

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May 30, 2023

good

By D V B S

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Apr 10, 2023

gud

By Jesse B

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Sep 12, 2022

Video lessons many times lack context, explanation and do not seem align with objectives or presented in a way that doesn't make the connection clear. This course needs deeper explanations or a text.

By Omid K

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Oct 14, 2024

The covered topics are mostly interesting. Though, the course could benefit from a revisit as there are many parts that feel redundant, overall structure of the course feels unclear etc.