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This course provides insights into NVIDIA's AI infrastructure for self-driving cars, focusing on Project MagLev, their internal AI platform for developing self-driving car software. The course covers topics such as continuous data ingest, training neural network designs across GPU systems, and validating behavior over large datasets. The teaching method includes discussions on architecture, data center deployment, AI pipeline automation, dataset management, training, and testing. The intended audience for this course includes AI designers, developers, and professionals interested in self-driving car technology.
