What You'll Learn

  • Describe AI factory network architectures
  • including scalable units
  • rail-optimized topologies
  • BlueField DPUs
  • and SuperNICs,Configure Spectrum-X switches and Cumulus Linux for RoCE with lossless Ethernet
  • adaptive routing
  • and congestion control,Design and secure Ethernet AI fabrics using EVPN
  • VXLAN
  • and segmentation for multi-tenant environments,Configure InfiniBand fabrics with subnet managers
  • UFM
  • partitions
  • adaptive routing
  • and SHARP in-network computing,Integrate Kubernetes with AI fabrics using the Network Operator
  • SR-IOV
  • and RDMA device plugins,Troubleshoot link
  • congestion
  • and topology issues with NetQ
  • UFM
  • ibdiagnet
  • mlxlink
  • and bandwidth tests,Automate RoCE
  • VLAN
  • and high-availability configuration with NVUE and Ansible across multi-device fabrics,Validate AI network designs before deployment using NVIDIA Air simulations and performance benchmarks

Requirements

  • Solid networking experience with switching
  • routing
  • VLANs
  • and BGP is strongly recommended.,Familiarity with data center fabrics and the Linux command line will help with most scenarios.,Exposure to RDMA
  • RoCE
  • or InfiniBand is helpful but not required. The explanations fill in the gaps.,A basic understanding of GPU clusters and Kubernetes is useful for the integration scenarios.,Most of all
  • you need a willingness to learn exactly where the Ethernet and InfiniBand approaches differ.

Description

Prepare for the NVIDIA-Certified Professional: AI Networking (NCP-AIN) exam with practical, scenario-based fabric questions

These NCP-AIN practice tests are for network engineers working toward the NVIDIA-Certified Professional: AI Networking credential. The exam covers the two fabrics that connect modern AI clusters: Spectrum-X Ethernet with RoCE, and InfiniBand. It tests whether you can configure them, secure them, tune them, and troubleshoot them under real conditions. This course helps you practice the decisions that come up when a training job’s performance depends on the network.

Why this course

The most common mistake on NCP-AIN is mixing up the two fabrics. A congestion fix, routing feature, or management tool that works on Spectrum-X Ethernet often has a different counterpart on InfiniBand. Every question in this course puts you in a realistic situation, such as RoCE traffic dropping under load, a subnet manager failing over, or a Kubernetes pod that can’t reach its RDMA device. You choose the right answer for that specific fabric. All questions are original, aligned with the current exam blueprint, and updated as NVIDIA’s networking platforms and the exam evolve.

What’s inside, by exam domain

  • AI data center design and optimization: AI factory architecture, scalable units, rail-optimized topologies, BlueField DPUs and SuperNICs, and designing for scale and redundancy

  • NVIDIA Spectrum networking: configuring Spectrum-X switches and Cumulus Linux for RoCE, lossless Ethernet, adaptive routing, congestion control, EVPN and VXLAN, and fabric security and segmentation

  • NVIDIA InfiniBand networking: subnet managers, UFM, fat-tree topologies, partitions, adaptive routing, SHARP in-network computing, and InfiniBand security

  • Kubernetes integration: the Network Operator, SR-IOV, RDMA device plugins, and connecting containerized AI workloads to high-speed fabrics

  • Troubleshooting tools: diagnosing link, congestion, and topology problems with NetQ, UFM, ibdiagnet, mlxlink, and perftest-style bandwidth and latency tests

  • Automation and configuration: automating RoCE, VLAN, and high-availability settings with NVUE and Ansible, and validating designs in NVIDIA Air simulations

How the explanations help you learn

Every question comes with a detailed explanation for every answer option. You learn why the correct choice fits the fabric and scenario, and why each of the others fails. Some wrong options are features from the other fabric. Others use the wrong tool or treat the symptom instead of the root cause. This builds the clear separation between Ethernet and InfiniBand thinking that the exam rewards.

Who it’s for

  • Network engineers, data center architects, and infrastructure professionals who design or operate high-performance fabrics for AI and HPC clusters

Start practicing today

You get lifetime access, regular updates, and the protection of Udemy’s 30-day refund policy. Enroll now, find your weak domains, and go into NCP-AIN prepared.

Disclaimer

This course is an independent, unofficial study resource. It is not affiliated with, endorsed by, or sponsored by NVIDIA Corporation. NVIDIA, Spectrum-X, Cumulus Linux, BlueField, UFM, NetQ, SHARP, NVIDIA Air, and related names are trademarks of NVIDIA Corporation. InfiniBand, Kubernetes, Ansible, and other product names belong to their respective owners. All of these names are used only to identify the exam and the technologies it covers. All questions are original practice material and are not drawn from any NVIDIA exam.

Who this course is for:

  • Candidates preparing for the NVIDIA-Certified Professional: AI Networking (NCP-AIN) exam,Network engineers and architects who build Spectrum-X Ethernet or InfiniBand fabrics for AI clusters,Data center and HPC engineers responsible for GPU-to-GPU communication performance,System and platform engineers who connect Kubernetes AI workloads to high-speed RDMA networks,Traditional enterprise network engineers moving into AI and HPC networking,Candidates retaking NCP-AIN who want targeted practice on their weaker domains
NCP-AIN NVIDIA AI Networking Professional Practice Tests

Course Includes:

  • Price: FREE
  • Enrolled: 0 students
  • Language: English
  • Certificate: Yes
  • Difficulty: Beginner
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