Cloud & DevOps
Intermediate

DevOps Engineering

Master the systems theory, automation pipelines, and cloud-native infrastructure driving modern software delivery.

This course provides rigorous grounding in both the theoretical foundations and production practices of DevOps Engineering. Students analyze queuing models, container isolation primitives, and reliability mathematics, while mastering Infrastructure as Code, declarative GitOps, and cloud observability.

Dr. Aris Thorne, Principal Infrastructure Architect and Former Associate Professor of Distributed Systems 90h + 45h 2 certificates available
DevOpsKubernetesCI/CDInfrastructure as CodeSite Reliability Engineering

Curriculum

Two complete tracks. Study either or both — each has its own exam and certificate.

An academically rigorous investigation into software delivery throughput, operating system isolation mechanics, deterministic build graphs, and stochastic availability models.

Mathematical modeling of compilation units, pipeline scheduling policies, and build artifact immutability using discrete graphs and queuing theory.

  • Directed Acyclic Graphs in Build Systems Lab40 min
  • Queueing Theory in Deployment Pipelines Lab45 min
  • Hermeticity and Deterministic Compilation Lab35 min

Careers this prepares you for

  • DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Cloud Infrastructure Architect
  • Platform Systems Engineer

Your tutor

DA
Dr. Aris Thorne
Principal Infrastructure Architect and Former Associate Professor of Distributed Systems