Adding Intelligence - Unlocking New Insights with AI & Machine Learning

For many scenarios, the cloud is used as a way to process data and apply business logic with nearly limitless scale. However, processing data in the cloud is not always the optimal way to run computational workloads, either because of connectivity issues, legal concerns, or because you need to respond in near-real-time with processing at the Edge.

This session dives into how Azure IoT Edge can help in this scenario by training a machine learning model in the cloud using the Microsoft AI Platform and deploying this model to an IoT Edge device using Azure IoT Hub.

By the end of this lesson, you will understand how to develop and deploy AI & Machine Learning workloads at the Edge.

Learning Objectives

• Learn what machine learning is and how it can be implemented in IoT scenarios
• Learn how to create a classifier using the Custom Vision Service and run that classifier in an IoT Edge 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.