Course NVIDIA Certified Professional AI NetWorking (NCP-AIN)

Concept-Driven NVIDIA AI Data Center Networking – Architecture, Design, Spectrum-X, InfiniBand, Kubernetes, and Operatio

What you’ll learn
Understand NVIDIA AI data center networking architecture and how GPUs, DPUs, switches, and storage work together for AI workloads.
Explain AI factory design principles and rail-optimized network topologies for scalable, high-performance NVIDIA environments.
Differentiate NVIDIA Spectrum-X Ethernet and InfiniBand networking concepts for AI training and inference workloads.
Understand GPU-to-GPU communication fundamentals and how network design impacts latency, throughput, and AI performance.
Learn core concepts of QoS, congestion control, telemetry, and observability in NVIDIA AI networking environments.
Understand how Kubernetes integrates with NVIDIA AI networking, including RDMA, InfiniBand, and GPU resource awareness.
Develop architectural reasoning to analyze AI network performance, scalability, and reliability challenges.
Prepare for NVIDIA NCP-AIN certification with strong conceptual clarity and design-focused understanding.

Requirements
This course is designed to build understanding from core networking and AI infrastructure fundamentals.
Basic understanding of computer networking concepts (IP, routing, switching)
General familiarity with data center or cloud infrastructure concepts
Awareness of AI, GPU computing, or machine learning workflows (helpful but not required)
Interest in AI infrastructure, data center design, or high-performance networking

Description
Who this course is for
Network engineers who want to transition into AI data center and GPU networking roles
Data center and infrastructure architects designing or supporting AI and GPU-based environments
Platform and cloud engineers working with AI workloads and high-performance networking
Kubernetes professionals who want to understand AI networking integration concepts
AI infrastructure, MLOps, and platform teams seeking architecture-level clarity
Technical leads and decision-makers involved in AI data center design and planning
Professionals preparing for the NVIDIA Certified Professional AI Networking (NCP-AIN) certification
Engineers who prefer to understand design principles, trade-offs, and architectures before execution