Coursera
6 months to complete at 5 hours a week
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.
Students should have beginner level Linux and intermediate level Python skills.
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.
Coursera partners with top universities and companies to offer online courses, certificates, and degrees. This Specialization is created by Duke University, a world-class institution with a strong commitment to applying knowledge in service to society.
By the end of this Specialization, you will be well-equipped to begin designing Cloud-native data engineering and machine learning solutions. This can lead to careers in Cloud Computing, Data Engineering, Machine Learning Engineering, and more.
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