Master NVIDIA GPUs, Omniverse, Digital Twins, AI Containers, Triton Inference, DeepStream, and ModelOps
What you will learn
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Architect and deploy GPU-accelerated AI pipelines using NVIDIA hardware (A100, H100, L4, Jetson) and the full NVIDIA AI Enterprise software stack.
Optimize AI models for performance and efficiency using TensorRT, TAO Toolkit, and advanced quantization techniques for both cloud and edge deployments.
Implement real-time AI applications with DeepStream, RAPIDS, and Triton Inference Server for video analytics, sensor fusion, and data processing.
Integrate AI solutions with cloud, edge, and digital twin environments, leveraging Kubernetes, Helm, and Omniverse for scalable deployment and simulation.
Apply security, licensing, and containerization best practices to ensure enterprise-grade reliability and compliance in AI systems.
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