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Get Bonus Downloads Here.url
180 bytes
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1. Certificate of Completion.en_US.srt
690 bytes
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1. Certificate of Completion.mp4
10.9 MB
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2. Introduction to NVIDIA-Certified Professional AI Infrastructure (NCP-AII).en_US.srt
3.6 KB
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2. Introduction to NVIDIA-Certified Professional AI Infrastructure (NCP-AII).mp4
9.3 MB
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1. Quiz Module 9 Real-World Projects and Enterprise Workflows.html
23.4 KB
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43. Case Study Building an AI Supercomputer.en_US.srt
6.1 KB
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43. Case Study Building an AI Supercomputer.mp4
18.1 MB
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44. Case Study Multi-Tenant AI Infrastructure for Healthcare.en_US.srt
6.5 KB
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44. Case Study Multi-Tenant AI Infrastructure for Healthcare.mp4
22.9 MB
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45. End-to-End Workflow Data → Train → Deploy → Monitor.en_US.srt
5.6 KB
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45. End-to-End Workflow Data → Train → Deploy → Monitor.mp4
13.3 MB
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46. Lab Design and Present a Scalable AI Infrastructure.html
5.6 KB
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46. Module9_Lab.pdf
121.6 KB
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47. Peer Review.html
5.4 KB
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47. PeerReview.pdf
44.7 KB
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2. Mock Test 60 Questions.html
49.0 KB
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48. Exam Blueprint and Common Pitfalls.en_US.srt
4.3 KB
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48. Exam Blueprint and Common Pitfalls.mp4
9.8 MB
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49. 10.2FlashCards.pdf
90.2 KB
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49. Flashcards Concepts, Commands, Tools.html
5.8 KB
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50. Capstone Project End-to-End AI Infrastructure Design.html
5.9 KB
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50. CapstoneProject.pdf
94.3 KB
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51. Certification Pathways and Next Steps.en_US.srt
4.5 KB
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51. Certification Pathways and Next Steps.mp4
9.1 MB
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3. Introduction to AI Infrastructure Design.en_US.srt
6.6 KB
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3. Introduction to AI Infrastructure Design.mp4
14.0 MB
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4. Role of GPUs in AI Workloads.en_US.srt
5.2 KB
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4. Role of GPUs in AI Workloads.mp4
11.1 MB
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5. CPU vs GPU vs DPU Architectures.en_US.srt
4.8 KB
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5. CPU vs GPU vs DPU Architectures.mp4
10.1 MB
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6. GPU Acceleration for AI ML Pipelines.en_US.srt
5.2 KB
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6. GPU Acceleration for AI ML Pipelines.mp4
11.2 MB
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7. NVIDIA Ecosystem Overview (CUDA, Triton, NGC).en_US.srt
5.2 KB
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7. NVIDIA Ecosystem Overview (CUDA, Triton, NGC).mp4
12.0 MB
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10. Virtual GPUs (vGPU) Setup and Use Cases.en_US.srt
5.9 KB
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10. Virtual GPUs (vGPU) Setup and Use Cases.mp4
13.7 MB
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11. GPU Workload Scheduling with Kubernetes.en_US.srt
5.9 KB
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11. GPU Workload Scheduling with Kubernetes.mp4
13.2 MB
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12. Hands-on Lab Configure MIG on A100.html
5.6 KB
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12. Lab2.pdf
208.5 KB
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8. MIG (Multi-Instance GPU) Configuration.en_US.srt
6.0 KB
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8. MIG (Multi-Instance GPU) Configuration.mp4
13.7 MB
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9. GPU Sharing and Isolation Techniques.en_US.srt
5.7 KB
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9. GPU Sharing and Isolation Techniques.mp4
12.6 MB
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13. Storage Architectures for AI Workloads (local, shared, object).en_US.srt
5.3 KB
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13. Storage Architectures for AI Workloads (local, shared, object).mp4
15.1 MB
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14. High-Speed Networking NVLink, Infiniband, RDMA.en_US.srt
5.7 KB
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14. High-Speed Networking NVLink, Infiniband, RDMA.mp4
13.5 MB
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15. Data Movement Bottlenecks and Optimization.en_US.srt
5.6 KB
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15. Data Movement Bottlenecks and Optimization.mp4
12.0 MB
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16. AI Data Pipeline Design (ETL + Training + Inference).en_US.srt
5.4 KB
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16. AI Data Pipeline Design (ETL + Training + Inference).mp4
11.5 MB
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17. Lab Design an End-to-End Data Pipeline for AI.html
5.6 KB
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17. Lab3.pdf
249.5 KB
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18. Kubernetes for GPU-Orchestrated AI Workloads.en_US.srt
4.2 KB
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18. Kubernetes for GPU-Orchestrated AI Workloads.mp4
9.5 MB
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19. Helm, Operators, and Cluster Autoscaling.en_US.srt
3.8 KB
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19. Helm, Operators, and Cluster Autoscaling.mp4
8.8 MB
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20. Integrating Slurm, Kubeflow, and MLflow.en_US.srt
4.8 KB
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20. Integrating Slurm, Kubeflow, and MLflow.mp4
10.8 MB
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21. Cluster Topologies (On-prem, Cloud, Hybrid).en_US.srt
4.8 KB
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21. Cluster Topologies (On-prem, Cloud, Hybrid).mp4
10.3 MB
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22. Lab Deploy Multi-GPU Training Job on Kubernetes.html
5.6 KB
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22. Lab4.pdf
179.2 KB
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23. Profiling GPU Workloads (Nsight, DLProf, nvtop).en_US.srt
5.6 KB
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23. Profiling GPU Workloads (Nsight, DLProf, nvtop).mp4
11.5 MB
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24. GPU Metrics, Telemetry & Alerting Tools.en_US.srt
5.6 KB
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24. GPU Metrics, Telemetry & Alerting Tools.mp4
11.8 MB
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25. TensorRT and Model Optimization.en_US.srt
5.4 KB
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25. TensorRT and Model Optimization.mp4
11.0 MB
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26. Bottleneck Diagnosis and Tuning.en_US.srt
5.5 KB
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26. Bottleneck Diagnosis and Tuning.mp4
11.9 MB
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27. Lab Optimize Inference Pipeline with TensorRT.html
5.8 KB
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27. Lab5.pdf
186.8 KB
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28. Securing GPU-Powered Workloads.en_US.srt
5.5 KB
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28. Securing GPU-Powered Workloads.mp4
12.0 MB
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29. Encryption and Access Control (DPUs, DOCA).en_US.srt
6.2 KB
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29. Encryption and Access Control (DPUs, DOCA).mp4
14.3 MB
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30. Role-Based Access Control (RBAC) for AI Clusters.en_US.srt
6.3 KB
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30. Role-Based Access Control (RBAC) for AI Clusters.mp4
13.9 MB
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31. Regulatory Compliance GDPR, HIPAA, FedRAMP.en_US.srt
6.5 KB
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31. Regulatory Compliance GDPR, HIPAA, FedRAMP.mp4
14.7 MB
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32. Lab Apply Security Policies in AI Infrastructure.html
5.8 KB
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32. Lab6.pdf
180.6 KB
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33. Edge vs Cloud AI – Infrastructure Implications.en_US.srt
4.0 KB
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33. Edge vs Cloud AI – Infrastructure Implications.mp4
9.2 MB
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34. NVIDIA Jetson and Orin for Edge AI.en_US.srt
4.9 KB
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34. NVIDIA Jetson and Orin for Edge AI.mp4
10.8 MB
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35. Federated Learning and Distributed Inference.en_US.srt
4.6 KB
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35. Federated Learning and Distributed Inference.mp4
10.4 MB
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36. Use Cases Smart Cities, Retail, Industrial IoT.en_US.srt
4.1 KB
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36. Use Cases Smart Cities, Retail, Industrial IoT.mp4
8.8 MB
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37. Lab Deploy AI Model to Jetson Nano.html
5.9 KB
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37. Module7_lab.pdf
272.0 KB
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38. Using NGC Catalog for Pretrained Models.en_US.srt
7.3 KB
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38. Using NGC Catalog for Pretrained Models.mp4
15.4 MB
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39. Triton Inference Server – Overview and Architecture.en_US.srt
8.0 KB
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39. Triton Inference Server – Overview and Architecture.mp4
15.9 MB
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40. Model Ensemble and Multi-Framework Serving.en_US.srt
6.8 KB
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40. Model Ensemble and Multi-Framework Serving.mp4
14.3 MB
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41. Lab Deploy Triton with TensorFlow and ONNX Models.html
5.7 KB
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41. Module8_Lab.pdf
150.6 KB
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42. Serving at Scale – Load Balancing and HA Design.en_US.srt
5.4 KB
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42. Serving at Scale – Load Balancing and HA Design.mp4
15.2 MB
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Bonus Resources.txt
70 bytes
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