Accelerated Networking for AI Platforms

Artificial intelligence workloads demand unprecedented data speeds and ultra-low latency, making traditional network configurations a major bottleneck. This course provides a clear, text-based guide to understanding and managing accelerated networking systems designed specifically for AI data pipelines. You will transition from basic networking concepts to configuring advanced high-throughput environments that keep GPU clusters fully utilized. Learn to implement Remote Direct Memory Access (RDMA) over Converged Ethernet (RoCE), optimize InfiniBand configurations, and apply modern zero-trust security practices to your AI infrastructure. Understand how to monitor traffic patterns, diagnose bottlenecks, and implement modern telemetry tools to maintain peak performance. This course begins with essential terminology and foundational architecture concepts before moving into practical configuration steps and optimization strategies. Designed for system administrators, network engineers, and IT professionals new to AI infrastructure, this course requires no prior experience with accelerated networking. Start building the high-speed data pathways that power modern artificial intelligence today.