DevOps Engineering Professional Certificate equips experienced DevOps engineers, platform engineers, and SREs with the skills to build, automate, secure, and monitor enterprise-grade infrastructure at scale. It is ideal for professionals with prior experience in CI/CD, cloud, version control, and scripting moving into senior or lead roles.
The curriculum begins with enterprise DevOps platform governance, designing Azure DevOps organizational hierarchies, enforcing trunk-based branching, and deploying self-hosted GitHub Actions runner fleets on AKS. It progresses to pipeline engineering and automation, building reusable multi-stage YAML pipeline templates and event-driven automation via Azure Functions and Event Grid.
Learners develop cloud-native infrastructure skills, building secure container supply chains with Azure Container Registry image-signing, Kubernetes admission controls, and reusable Terraform and Bicep modules with policy-as-code. The program concludes with observability and metrics using Azure Monitor, Grafana, Application Insights, and OpenTelemetry to trace deployments from commit to production.
Through hands-on projects, learners create portfolio-ready artifacts aligned to SOX, ISO 27001, and CIS benchmarks. Graduates earn a digital certificate and prepare for roles like Senior DevOps Engineer, Platform Engineer, and Site Reliability Engineer.
Übungsprojekt
This program features four portfolio projects applying advanced DevOps to enterprise challenges:
Enterprise Platform Governance Strategy: Design an Azure DevOps/GitHub governance model, implement secure branching, and build a scalable self-hosted runner strategy for multi-team environments.
Automated CI/CD Pipeline Framework: Build reusable multi-stage YAML templates and event-driven automation that standardize deployments, stability, and speed remediation.
Secure IaC Module Library: Create a secure container supply chain with image signing and Kubernetes controls, developing reusable Terraform/Bicep modules with policy-as-code and drift management.
Full-Stack Observability & Tracing Solution: Deploy dashboards, monitoring, and distributed tracing that connect incidents to the exact pipeline run and commit.
Add-on GenAI modules teach AI-assisted governance and infrastructure authoring. Projects emphasize documentation, outcomes, and reusable artifacts for portfolios.
