Information Technology
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Building Cloud Computing Solutions at Scale Specialization

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Course Features

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Duration

4 months

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

Cloud-based software is increasingly popular in businesses. It is important to hire the right people to develop solutions on different Cloud platforms. Cloud talent can be difficult to find, according to employers. This specialization was created to fill the Cloud talent shortage. This course is for anyone who wishes to acquire the skills and job-ready abilities necessary to pursue a career using Cloud-native technology. This course will show you how to build a cloud computing infrastructure. This includes websites that use serverless technology or virtual machines. This course also covers the best practices in DevOps. The second course will teach you how to create Microservices with technologies like Flask and Kubernetes. These microservices can be deployed to any Cloud platform: Amazon Web Services (AWS), Azure(GCP), or Google Cloud Platform. The third course, which combines the Cloud concepts of the first two courses, is designed to tackle more complex data engineering problems. The fourth course will cover Machine Learning Engineering. It will also help you create a Flask web application that can make Machine Learning predictions.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Build websites involving serverless technology and virtual machines, using the best practices of DevOps

Create Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: AWS, Azure or GCP

Apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions

Course Instructors

Noah Gift

Professor Duke and Founder Pragmatic AI Labs

Noah Gift is the founder of Pragmatic A.I. Labs and lectures in the Duke MIDS Graduate Data Science Program. He teaches and designs graduate machine learning, MLOps, A.I., Data Science courses and co...
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