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.
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.