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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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4. Role of GPUs in AI Workloads.mp4
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MP4
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11.1 MB
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3 - Module 2 GPU Resource Management and Virtualization
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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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26. Bottleneck Diagnosis and Tuning.mp4
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MP4
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11.9 MB
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7 - Module 6 Security, Compliance, and Data Governance
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28. Securing GPU-Powered Workloads.mp4
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MP4
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12 MB
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29. Encryption and Access Control (DPUs, DOCA).mp4
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MP4
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14.3 MB
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30. Role-Based Access Control (RBAC) for AI Clusters.mp4
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MP4
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13.9 MB
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31. Regulatory Compliance GDPR, HIPAA, FedRAMP.mp4
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MP4
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14.7 MB
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8 - Module 7 Edge AI Infrastructure and Integration
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33. Edge vs Cloud AI – Infrastructure Implications.mp4
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MP4
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9.2 MB
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34. NVIDIA Jetson and Orin for Edge AI.mp4
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MP4
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10.8 MB
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35. Federated Learning and Distributed Inference.mp4
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MP4
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10.4 MB
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