Building Cloud Computing Solutions at Scale
With more companies leveraging software that runs on the Cloud, there is a growing need to find and hire individuals with the skills needed to build solutions on a variety of Cloud platforms. Employers agree: Cloud talent is hard to find.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Course by Duke University
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Offered by
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With more companies leveraging software that runs on the Cloud, there is a growing need to find and hire individuals with the skills needed to build solutions on a variety of Cloud platforms. Employers agree: Cloud talent is hard to find. This Specialization is designed to address the Cloud talent gap by providing training to anyone interested in developing the job-ready, pragmatic skills needed for careers that leverage Cloud-native technologies. In the first course, you will learn how to build foundational Cloud computing infrastructure, including websites involving serverless technology and virtual machines, using the best practices of DevOps. The second course will teach you how to build effective Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP). The third course begins to put together all of the Cloud concepts introduced in the first two courses to tackle more complex data engineering solutions. And finally, in the fourth course you will apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions.Auto Summary
"Building Cloud Computing Solutions at Scale" is a comprehensive specialization designed for professionals in the IT and Computer Science domain who aspire to develop job-ready skills in Cloud-native technologies. This course addresses the growing demand for Cloud expertise by equipping learners with the ability to build scalable solutions on various Cloud platforms. Led by Coursera, this engaging program is structured into four focused courses. The journey begins with foundational Cloud computing infrastructure, delving into serverless technology and virtual machines, all while emphasizing DevOps best practices. The second course advances into creating effective Microservices with tools like Flask and Kubernetes, deploying them on popular platforms such as AWS, Azure, or GCP. The third course integrates these concepts to solve more complex data engineering challenges. The final course applies Machine Learning Engineering to develop a Flask web application that delivers ML predictions. Flexible subscription options, including Starter and Professional, ensure that learners can choose the plan that best fits their needs. This course is ideal for professionals seeking to fill the Cloud talent gap and advance their careers with practical, industry-relevant skills.
Noah Gift