Free Udemy Course __ NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)

Master GPU-powered AI infrastructure design, orchestration, security, and scalability with NVIDIA NCP-AII.

4.5 (3,804 students students enrolled) English
data-science Machine Learning
NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)

What You'll Learn

  • Design and deploy GPU-powered AI infrastructure by mastering storage, networking, orchestration, and scalability strategies.
  • Configure and manage advanced GPU features such as MIG, vGPU, and Kubernetes scheduling to optimize multi-tenant AI workloads.
  • Implement performance optimization and monitoring tools like Nsight, DLProf, TensorRT, and DCGM to maximize efficiency.
  • Apply security, compliance, and governance frameworks (GDPR, HIPAA, RBAC, DOCA) to safeguard enterprise-grade AI infrastructure.

Requirements

  • Basic knowledge of AI and machine learning workflows (training, inference, pipelines).
  • Familiarity with Linux command line and system administration.
  • Understanding of containerization (Docker, Kubernetes basics preferred).
  • Access to a Linux server or cloud environment with an NVIDIA GPU (A100, H100, or similar) for hands-on labs.
  • (Optional but helpful) Experience with Python scripting and working with frameworks like TensorFlow or PyTorch.

Who This Course is For

  • AI Engineers & Data Scientists who need to scale their training and inference pipelines on high-performance NVIDIA GPUs.
  • System Administrators & DevOps Engineers responsible for managing GPU clusters, Kubernetes workloads, and monitoring performance.
  • Cloud Architects & Infrastructure Specialists designing hybrid, cloud, or edge AI infrastructure solutions.
  • IT Managers & Technical Leaders seeking to ensure security, compliance, and efficiency in enterprise AI deployments.
  • Professionals preparing for the NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) credential to validate their skills.

Your Instructor

School of AI

AI Academy

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328,933 Students

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