Building Cloud Computing Solutions at Scale (Duke University Coursera Specialization)

The Duke University cloud foundations specialization: four courses spanning cloud infrastructure, virtualization, data engineering, and machine learning engineering. The canonical entry point for engineers building cloud-native systems.

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What You Will Build

Cloud-deployed services across the three major providers, containerized workloads with Docker and Kubernetes, data engineering pipelines, and a full MLOps deployment with monitoring and CI/CD.

Courses in This Specialization

1. Cloud Computing Foundations — AWS, GCP, Azure primitives; IAM; CLIs; and cloud-native fundamentals.
2. Cloud Virtualization, Containers and APIs — VMs, Docker, Kubernetes, microservices, and API design.
3. Cloud Data Engineering — ETL pipelines, serverless, and managed analytics on AWS/GCP.
4. Cloud Machine Learning Engineering and MLOps — End-to-end ML on AWS SageMaker, Azure ML, and GCP Vertex.

Who This Is For

• New cloud engineers seeking a rigorous foundations curriculum
• Data engineers moving from on-prem to cloud platforms
• University students targeting cloud-native careers

Related Specializations

• MLOps | Machine Learning Operations — MLOps-specific deep dive
• Applied Python Data Engineering — Python-first data engineering path
• Python, Bash and SQL Essentials for Data Engineering — foundational scripting