Strategy & Best Practices When Mapping Designs from Edge to Cloud

Intermediate
45m 29s
131
5/5

This lesson explores strategies for secure IoT device connectivity in real-world edge environments, specifically how the use of the Azure IoT Edge Gateway can accommodate offline, intermittent, legacy environments by means of Gateway configuration patterns. We then look at implementations of Artificial Intelligence at the Edge in a variety of business verticals by adapting a common IoT reference architecture to accommodate specific business needs.

Finally, we will conclude with techniques for implementing artificial intelligence at the edge to support an Intelligent Video Analytics solution by walking through a project which integrates Azure IoT Edge with an NVIDIA DeepStream SDK module and a custom object detection model built using CustomVision.AI to create an end-to-end solution that allows for visualization of object detection telemetry in Azure services like Time Series Insights and Power BI.

Learning Objectives

  • Understand the strategies for secure IoT device connectivity in real-world edge environments
  • Learn how a common IoT solution architecture can be adapted to a variety of business verticals
  • Learn techniques for implementing artificial intelligence at the edge to support an intelligent video analytics IoT solution

Intended Audience

This lesson is intended for anyone looking to improve their understanding of Azure IoT and its benefits for organizations.

Prerequisites

To get the most out of this lesson, you should already have a working knowledge of Microsoft Azure.

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