Udemy - SoAI-Certified Professional - AI Infrastructure (NCP-AII)

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Type: Tutorials
Language: English
Total Size: 500.0 MB
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Last checked: Jun. 19th '26
Date uploaded: Jun. 19th '26
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SoAI-Certified Professional: AI Infrastructure (NCP-AII)

https://WebToolTip.com

Last updated 2/2026
Created by School of AI
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 51 Lectures ( 3h 6m ) | Size: 500.1 MB

Master GPU-powered AI infrastructure design, orchestration, security, and scalability with SoAI 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.

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