- Module 1: Learn how to set up and configure an x86-based Ubuntu 18.04 system to host an NVIDIA DeepStream development environment.
- Describe the components of Intelligent Video Analytics applications
- Install the NVIDIA DeepStream SDK and dependencies onto an x86 host
- Run NVIDIA DeepStream applications
- Modify NVIDIA DeepStream application configurations
- Module 2: 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.
- Install the DeepStream Graph Composer application and reference graphs.
- Develop Intelligent Video Analytics applications by using the DeepStream Graph Composer.
- Package DeepStream Graph Composer applications into a container by using container-builder.
- Publish DeepStream Graph Composer container workloads into Azure Container Registry for secure redistribution.
- Module 3: Learn how to publish and deploy an ARM-based DeepStream container workload to NVIDIA embedded hardware using Azure IoT Edge.
- Modify a DeepStream Graph Composer application to publish data to a hub in Azure IoT Hub.
- Build and publish cross-platform DeepStream container images to a container registry in Azure Container Registry.
- Configure Azure IoT Edge to run on NVIDIA embedded hardware.
- Deploy cross-platform DeepStream images to NVIDIA embedded devices by using Azure IoT Edge.
In this module, you'll learn how to:
In this module, you'll learn how to:
In this module, you will learn how to:
