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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.
Applied Learning Project
Learners will apply their skills through hands-on projects that simulate real-world Cloud-Native environments. You’ll build and deploy microservices on Kubernetes clusters, integrate CI/CD pipelines with GitHub Actions, automate infrastructure provisioning using Terraform, and implement observability with Prometheus and Grafana. Additional projects include deploying RESTful APIs using AWS Lambda and API Gateway, setting up distributed caching and message brokers, and managing communication with Istio service mesh—all designed to provide practical, industry-aligned experience.
