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

CategoryOther
TypeTutorials
LanguageEnglish
Total size500 MB
Uploaded Byfreecoursewb

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Last checkedJun. 21st '26
Date uploadedJun. 19th '26
Seeders 9
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Infohash : 3F0CA5D54BFB693E76DF98A4794B6C12973D20D5

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.

                            Files: 
                            [ WebToolTip.com ] Udemy - SoAI-Certified Professional - AI Infrastructure (NCP-AII)

Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here !1 - Introduction to NVIDIA-Certified Professional AI Infrastructure (NCP-AII)
Certificate of Completion.en_US.srt (0.7 KB)

Certificate of Completion.mp4 (10.9 MB)

Introduction to NVIDIA-Certified Professional AI Infrastructure (NCP-AII).en_US.srt (3.6 KB)

Introduction to NVIDIA-Certified Professional AI Infrastructure (NCP-AII).mp4 (9.3 MB)
- Module 9 Real-World Projects and Enterprise Workflows
Quiz Module 9 Real-World Projects and Enterprise Workflows.html (23.4 KB)

Case Study Building an AI Supercomputer.en_US.srt (6.1 KB)

Case Study Building an AI Supercomputer.mp4 (18.1 MB)

Case Study Multi-Tenant AI Infrastructure for Healthcare.en_US.srt (6.5 KB)

Case Study Multi-Tenant AI Infrastructure for Healthcare.mp4 (22.9 MB)

End-to-End Workflow Data → Train → Deploy → Monitor.en_US.srt (5.6 KB)

End-to-End Workflow Data → Train → Deploy → Monitor.mp4 (13.3 MB)

Lab Design and Present a Scalable AI Infrastructure.html (5.6 KB)

Module9_Lab.pdf (121.6 KB)

Peer Review.html (5.4 KB)

PeerReview.pdf (44.7 KB)
- Module 10 Final Capstone + Certification Prep
Mock Test 60 Questions.html (49.0 KB)

Exam Blueprint and Common Pitfalls.en_US.srt (4.3 KB)

Exam Blueprint and Common Pitfalls.mp4 (9.8 MB)

10.2FlashCards.pdf (90.2 KB)

Flashcards Concepts, Commands, Tools.html (5.8 KB)

Capstone Project End-to-End AI Infrastructure Design.html (5.9 KB)

CapstoneProject.pdf (94.3 KB)

Certification Pathways and Next Steps.en_US.srt (4.5 KB)

Certification Pathways and Next Steps.mp4 (9.1 MB)
- Module 1 Foundations of AI Infrastructure
Introduction to AI Infrastructure Design.en_US.srt (6.6 KB)

Introduction to AI Infrastructure Design.mp4 (14.0 MB)

Role of GPUs in AI Workloads.en_US.srt (5.2 KB)

Role of GPUs in AI Workloads.mp4 (11.1 MB)

CPU vs GPU vs DPU Architectures.en_US.srt (4.8 KB)

CPU vs GPU vs DPU Architectures.mp4 (10.1 MB)

GPU Acceleration for AI ML Pipelines.en_US.srt (5.2 KB)

GPU Acceleration for AI ML Pipelines.mp4 (11.2 MB)

NVIDIA Ecosystem Overview (CUDA, Triton, NGC).en_US.srt (5.2 KB)

NVIDIA Ecosystem Overview (CUDA, Triton, NGC).mp4 (12.0 MB)
- Module 2 GPU Resource Management and Virtualization
Virtual GPUs (vGPU) Setup and Use Cases.en_US.srt (5.9 KB)

Virtual GPUs (vGPU) Setup and Use Cases.mp4 (13.7 MB)

GPU Workload Scheduling with Kubernetes.en_US.srt (5.9 KB)

GPU Workload Scheduling with Kubernetes.mp4 (13.2 MB)

Hands-on Lab Configure MIG on A100.html (5.6 KB)

Lab2.pdf (208.5 KB)

MIG (Multi-Instance GPU) Configuration.en_US.srt (6.0 KB)

MIG (Multi-Instance GPU) Configuration.mp4 (13.7 MB)

GPU Sharing and Isolation Techniques.en_US.srt (5.7 KB)

GPU Sharing and Isolation Techniques.mp4 (12.6 MB)
- Module 3 Storage, Networking, and Data Pipelines for AI
Storage Architectures for AI Workloads (local, shared, object).en_US.srt (5.3 KB)

Storage Architectures for AI Workloads (local, shared, object).mp4 (15.1 MB)

High-Speed Networking NVLink, Infiniband, RDMA.en_US.srt (5.7 KB)

High-Speed Networking NVLink, Infiniband, RDMA.mp4 (13.5 MB)

Data Movement Bottlenecks and Optimization.en_US.srt (5.6 KB)

Data Movement Bottlenecks and Optimization.mp4 (12.0 MB)

AI Data Pipeline Design (ETL + Training + Inference).en_US.srt (5.4 KB)

AI Data Pipeline Design (ETL + Training + Inference).mp4 (11.5 MB)

Lab Design an End-to-End Data Pipeline for AI.html (5.6 KB)

Lab3.pdf (249.5 KB)
- Module 4 AI Cluster Orchestration and Scalability
Kubernetes for GPU-Orchestrated AI Workloads.en_US.srt (4.2 KB)

Kubernetes for GPU-Orchestrated AI Workloads.mp4 (9.5 MB)

Helm, Operators, and Cluster Autoscaling.en_US.srt (3.8 KB)

Helm, Operators, and Cluster Autoscaling.mp4 (8.8 MB)

Integrating Slurm, Kubeflow, and MLflow.en_US.srt (4.8 KB)

Integrating Slurm, Kubeflow, and MLflow.mp4 (10.8 MB)

Cluster Topologies (On-prem, Cloud, Hybrid).en_US.srt (4.8 KB)

Cluster Topologies (On-prem, Cloud, Hybrid).mp4 (10.3 MB)

Lab Deploy Multi-GPU Training Job on Kubernetes.html (5.6 KB)

Lab4.pdf (179.2 KB)
- Module 5 Performance Optimization & Monitoring
Profiling GPU Workloads (Nsight, DLProf, nvtop).en_US.srt (5.6 KB)

Profiling GPU Workloads (Nsight, DLProf, nvtop).mp4 (11.5 MB)

GPU Metrics, Telemetry & Alerting Tools.en_US.srt (5.6 KB)

GPU Metrics, Telemetry & Alerting Tools.mp4 (11.8 MB)

TensorRT and Model Optimization.en_US.srt (5.4 KB)

TensorRT and Model Optimization.mp4 (11.0 MB)

Bottleneck Diagnosis and Tuning.en_US.srt (5.5 KB)

Bottleneck Diagnosis and Tuning.mp4 (11.9 MB)

Lab Optimize Inference Pipeline with TensorRT.html (5.8 KB)

Lab5.pdf (186.8 KB)
- Module 6 Security, Compliance, and Data Governance
Securing GPU-Powered Workloads.en_US.srt (5.5 KB)

Securing GPU-Powered Workloads.mp4 (12.0 MB)

Encryption and Access Control (DPUs, DOCA).en_US.srt (6.2 KB)

Encryption and Access Control (DPUs, DOCA).mp4 (14.3 MB)

Role-Based Access Control (RBAC) for AI Clusters.en_US.srt (6.3 KB)

Role-Based Access Control (RBAC) for AI Clusters.mp4 (13.9 MB)

Regulatory Compliance GDPR, HIPAA, FedRAMP.en_US.srt (6.5 KB)

Regulatory Compliance GDPR, HIPAA, FedRAMP.mp4 (14.7 MB)

Lab Apply Security Policies in AI Infrastructure.html (5.8 KB)

Lab6.pdf (180.6 KB)
- Module 7 Edge AI Infrastructure and Integration33. Edge vs Cloud AI – Infrastructure Implications.en_US.srt (4.0 KB)
                        
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