Building Cloud Computing Solutions at Scale Specialization

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.
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
Filter Courses within "Building Cloud Computing Solutions at Scale Specialization" (Click to filter)
Cloud Virtualization, Containers and APIs (Coursera) Coursera
Duke University

Cloud Virtualization, Containers and APIs (Coursera)

Dive into the world of cloud computing with our specialized course on Cloud Virtualization, Containers, and APIs. This course is designed for those looking to master the essential building blocks of cloud technology, including virtual machines, containers, and API integration. Gain insights into designing efficient Cloud-native systems, developing robust Microservices using Flask and Kubernetes, and implementing effective operational strategies.

Jun 8th 2026
4 Weeks
Cloud Machine Learning Engineering and MLOps (Coursera) Coursera
Duke University

Cloud Machine Learning Engineering and MLOps (Coursera)

Dive into the world of Cloud Machine Learning Engineering and MLOps with our specialized online course. This course is designed for those who want to develop, deploy, and manage machine learning models at scale using cloud-based tools and best practices in software development. Gain practical experience by working on real-world projects and learn how to leverage data engineering principles to enhance your ML applications.

Jun 1st 2026
3 Weeks
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