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~Get Your Files Here !
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1 - Introduction to NVIDIA-Certified Professional AI Infrastructure (NCP-AII)
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10 - Module 9 Real-World Projects and Enterprise Workflows
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11 - Module 10 Final Capstone + Certification Prep
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2 - Module 1 Foundations of AI Infrastructure
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3. Introduction to AI Infrastructure Design.mp4
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MP4
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14 MB
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4. Role of GPUs in AI Workloads.mp4
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MP4
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11.1 MB
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5. CPU vs GPU vs DPU Architectures.mp4
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MP4
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10.1 MB
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6. GPU Acceleration for AI ML Pipelines.mp4
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MP4
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11.2 MB
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7. NVIDIA Ecosystem Overview (CUDA, Triton, NGC).mp4
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MP4
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12 MB
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3 - Module 2 GPU Resource Management and Virtualization
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10. Virtual GPUs (vGPU) Setup and Use Cases.mp4
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MP4
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13.7 MB
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11. GPU Workload Scheduling with Kubernetes.mp4
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MP4
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13.2 MB
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8. MIG (Multi-Instance GPU) Configuration.mp4
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MP4
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13.7 MB
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9. GPU Sharing and Isolation Techniques.mp4
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MP4
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12.6 MB
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4 - Module 3 Storage, Networking, and Data Pipelines for AI
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13. Storage Architectures for AI Workloads (local, shared, object).mp4
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MP4
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15.1 MB
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14. High-Speed Networking NVLink, Infiniband, RDMA.mp4
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MP4
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13.5 MB
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15. Data Movement Bottlenecks and Optimization.mp4
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MP4
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12 MB
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16. AI Data Pipeline Design (ETL + Training + Inference).mp4
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MP4
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11.5 MB
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5 - Module 4 AI Cluster Orchestration and Scalability
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18. Kubernetes for GPU-Orchestrated AI Workloads.mp4
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MP4
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9.5 MB
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19. Helm, Operators, and Cluster Autoscaling.mp4
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MP4
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8.8 MB
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20. Integrating Slurm, Kubeflow, and MLflow.mp4
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MP4
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10.8 MB
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21. Cluster Topologies (On-prem, Cloud, Hybrid).mp4
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MP4
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10.3 MB
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6 - Module 5 Performance Optimization & Monitoring
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23. Profiling GPU Workloads (Nsight, DLProf, nvtop).mp4
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MP4
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11.5 MB
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24. GPU Metrics, Telemetry & Alerting Tools.mp4
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MP4
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11.8 MB
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25. TensorRT and Model Optimization.mp4
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MP4
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11 MB
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