NVIDIA DeepStream development with Microsoft Azure
- Offered byMicrosoft
NVIDIA DeepStream development with Microsoft Azure at Microsoft Overview
Duration | 3 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
NVIDIA DeepStream development with Microsoft Azure at Microsoft Course details
- Set up and configure an NVIDIA DeepStream development environment
- Introduction to NVIDIA DeepStream Graph Composer with Microsoft Azure
- NVIDIA DeepStream embedded device deployment with Azure
- 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
- In this course, you'll learn how to set up and configure an x86-based Ubuntu 18.04 system to host an NVIDIA DeepStream development environment
- In this course, 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
NVIDIA DeepStream development with Microsoft Azure at Microsoft Curriculum
Set up and configure an NVIDIA DeepStream development environment
Introduction
Introduction to Intelligent Video Analytics
Exercise - Install the NVIDIA DeepStream dependencies and SDK
Exercise - Run an NVIDIA DeepStream sample application
Exercise - Modify the DeepStream sample applications
Knowledge check
Summary
Introduction to NVIDIA DeepStream Graph Composer with Microsoft Azure
Introduction
Introduction to the NVIDIA DeepStream Graph Composer
Exercise - Install NVIDIA DeepStream Graph Composer
Exercise - Run an NVIDIA DeepStream Graph Composer reference application
Exercise - Package an NVIDIA DeepStream Graph Composer application into a containerized workload
Exercise - Publish an NVIDIA DeepStream Graph Composer container to Azure Container Registry
Knowledge check
Summary
NVIDIA DeepStream embedded device deployment with Azure
Introduction
Introduction to AI at the edge with NVIDIA Jetson and Azure
Exercise - Configure DeepStream Graph Composer to publish data to Azure IoT Hub
Exercise - Build and publish cross-platform DeepStream container images
Exercise - Configure Azure IoT Edge on NVIDIA embedded hardware
Exercise - Deploy cross-platform DeepStream images to NVIDIA embedded devices with Azure IoT Edge
Knowledge check
Summary
NVIDIA DeepStream development with Microsoft Azure at Microsoft Entry Requirements
- Knowledge of containersFamiliarity with Azure IoT EdgeX86 Based System running Ubuntu 18.04 OSRTX2080, RTX3080, T4, or A100 NVIDIA Graphics CardNVIDIA Jetson Embedded Device provisioned with JetPack 4.6
- Not mentioned
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