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title: Introduction to NVIDIA DeepStream Graph Composer with Microsoft Azure
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summary: In this module, you'll learn how to set up and configure the NVIDIA DeepStream 6.0 Graph Composer on an X86-based Ubuntu 18.04 system to enable rapid development of Intelligent Video Analytics application pipelines for deployment to cloud and edge-capable devices.
title: Set up and configure an NVIDIA DeepStream development environment
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summary: In this module, you'll learn how to set up and configure an x86-based Ubuntu 18.04 system to host an NVIDIA DeepStream development environment.
title: NVIDIA DeepStream development with Microsoft Azure
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summary: With NVIDIA DeepStream, you can seamlessly develop optimized Intelligent Video Applications that can consume multiple video, image, and audio sources. You can also apply single or cascading inference operations to video frames in real-time, and transmit inference results to the cloud for archiving or additional processing. Learn how to develop custom DeepStream applications backed by services in Microsoft Azure and securely deploy NVIDIA DeepStream-based AI workloads to NVIDIA-powered IoT Edge devices.
title: Use AutoML to train a labeled dataset and develop a production model
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title: Get started with blockchain development
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summary: This learning path introduces you to blockchain and development on the Ethereum platform. Discover what skills are necessary to learn to begin building your own blockchain networks at scale.
summary: Interested in learning a programming language but aren't sure where to start? Start here! Learn the basic syntax and thought processes required to build simple programs using Go.
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