The SoAI-Certified Professional: AI Infrastructure (NCP-AII) course is designed for advanced professionals who want to master GPU-powered infrastructure for large-scale AI workloads. As AI models grow in complexity, success depends not just on algorithms, but on the ability to design, optimize, and secure the AI infrastructure that powers them. This certification prepares you to build, manage, and scale cutting-edge environments that deliver performance, efficiency, and enterprise readiness.
You’ll begin with the foundations of AI infrastructure, exploring the critical role of GPUs, DPUs, and CPUs, and how they combine to accelerate machine learning (ML) and deep learning (DL) pipelines. From understanding CUDA programming, NGC (NVIDIA GPU Cloud) resources, and the Triton Inference Server, you’ll build a strong grounding in the NVIDIA ecosystem that underpins modern AI.
Next, the course dives into GPU resource management and virtualization, where you’ll gain hands-on experience with MIG (Multi-Instance GPU) configuration, GPU sharing and isolation, and virtual GPU (vGPU) setup. You’ll also learn how to integrate GPU workloads into Kubernetes clusters, ensuring efficient scheduling and scalability across multi-tenant environments.
