Cloud-Native – Microservices, Kubernetes & CI/CD
About this course
This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. In this specialization, you’ll gain an in-depth understanding of Cloud-Native architectures and practices, mastering concepts from microservices and containers to orchestration, observability, and DevOps automation. You’ll explore tools like Docker, Kubernetes, Helm, and Istio while developing hands-on skills to build, deploy, and scale applications efficiently. The journey begins with the foundations of Cloud-Native systems, covering the evolution from IaaS to Serverless, then advances into microservices design, containerization, orchestration, and communication patterns. Through practical labs, you’ll work with .NET, AWS Lambda, API Gateway, DynamoDB, Kubernetes clusters, and service mesh integrations. You’ll also explore distributed data management, caching, message brokers, and CI/CD pipelines using GitHub Actions, Terraform, and GitOps. The course emphasizes monitoring and observability with Prometheus, Grafana, and OpenTelemetry. By the end, you’ll be ready to design, deploy, and manage scalable Cloud-Native systems. Ideal for developers, DevOps engineers, and cloud professionals seeking hands-on, project-based learning at the intermediate level.
75/100
CourseAsk score
- What the provider tells you
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- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Understand Cloud-Native system architectures
- Master microservices design and containerization
- Utilize orchestration tools like Kubernetes
- Implement observability practices with Prometheus and Grafana
- Create CI/CD pipelines using GitHub Actions and Terraform
Course objectives
- To provide a deep understanding of Cloud-Native practices
- To develop hands-on skills in deploying scalable applications
- To prepare students for roles as developers, DevOps engineers, and cloud professionals
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