Cloud-Native Engineering, Kubernetes & CI/CD Pipelines
Containerize production workloads, orchestrate Kubernetes clusters, design GitOps delivery pipelines, and manage infrastructure as code with Terraform.
Course Overview
Step beyond manual deployments. Learn how enterprise engineering organizations ship resilient containerized microservices at scale. From Docker multi-stage builds to Kubernetes control planes, Helm charts, and automated canary deployments in live browser virtual labs.
What You Will Learn
Curriculum & Modules
3 Modules • 9 Total LessonsPractical Learning & Cloud Sandboxes
Interact with dedicated multi-node k3s/Kubernetes clusters launched directly inside browser tabs.
16 automated exercises evaluated against real compilers and standard test matrices in seconds.
12 complete Linux containers launching isolated Docker runtimes, networking, and memory profiling.
Capstone Projects & Deliverables
End-to-End GitOps Microservice Pipeline
Build an automated pipeline that builds, tests, containerizes, and rolls out a polyglot microservice application onto Kubernetes with zero downtime.
- GitHub Actions workflow files
- Helm chart repository
- ArgoCD application manifests
Assessments & Grading
Automated verification scripts inspecting cluster pods, service health endpoints, and ingress rules.
Prerequisites & Requirements
- Basic Linux command-line literacy
- Familiarity with at least one programming language and Git
Instructor Profile
Elena Rostova
Principal Site Reliability Architect • Cloud Infrastructure Group
Pioneered container migration and GitOps release pipelines for global fintech platforms handling 50k+ transactions per second.
Course FAQs
- 50 Hours on-demand video & reading
- 16 in-browser CodeLab exercises
- 12 full Linux cloud virtual labs
- 10 automated unit test suites
- Cryptographic completion diploma
Available in Campus & Department Licenses