Distributed artificial intelligence models require high throughput low latency network fabrics to support massive compute clusters. This course equips network engineers with fabric design skills to optimize Azure Virtual Network environments for deep learning training workloads. Participants configure Azure Virtual Networks with dedicated subnets, custom routing tables and isolated security boundaries. Through practical activities, participants deploy Remote Direct Memory Access and InfiniBand drivers on Azure N-Series virtual machines to eliminate CPU overhead during weight distribution passes. As the curriculum progresses, participants utilize Azure Network Watcher and packet captures to isolate all reduce communication bottlenecks. Participants set up site to site VPNs and Azure ExpressRoute links to traffic engineer high velocity dataset ingestion pipelines. The course culminates in a capstone project where participants build and validate a production ready distributed AI network fabric architecture.
