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.
Projet d'apprentissage appliqué
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.
