Use the distinct advantages of IoT (Internet of things) to create a smart city system that will enhance New York City’s public transport and traffic. Use a variety of cloud technology and Internet of things Edge apps to provide predictive city bus management, like machine learning to identify anomalies, location broadcasting to monitor bus route location, and sending traffic information to improve notify traffic signal timing. Traffic signals will also receive the new Internet of things tools that can help identify problems with performance and maintenance, like when a light is out. Easily access all this data from Azure Time Series Insights ‘ unified reporting dashboard
This online training program is designed for IT professionals and Cloud Architects who have solutions design and infrastructure architecture experience in cloud technology and want to know more about Azure and its services as defined in the ‘ At Course Completion ‘ and ‘ About this Course ‘ areas. Anyone taking this training should also be trained in other cloud technologies other than MS, fulfill the preconditions of the program, and want to cross-train on Azure.
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
After completing this course, students will be able to:
· Using Azure Time Series Information and insight to visualize, query, and store the significant numbers of time-series data gathered by the different Internet of things devices, and also analyze the underlying cause and identify anomalies
· Use Azure Internet of things Edge to gather tracking data for vehicles, identify abnormalities using the local Azure Machine Learning framework and send the compiled data to the Azure Internet of things Center as required
· Visualize bus location data on a map using Azure Location Based Services
· Manage Internet of things (IoT) devices using IoT Hub
· Using its available REST Query APIs, create a custom app on top of Time Series Insights
Module 1: Whiteboard Design Session – IoT and the Smart City Lessons • Review the customer case study • Design a proof-of-concept solution • Present the solution
Module 2: Hands-on Lab – IoT and the Smart City Lessons • Set up IoT Remote Monitoring solution environment • Provision additional Azure services • Create bus and traffic light simulated devices, and add alerts and filters • Create IoT Edge device and custom modules • Create an Azure Function to add critical engine alerts to the Service Bus Queue • Run a console app to view critical engine alerts from the Service Bus Queue • Create an Azure Function to ingest critical engine alerts and store them in Cosmos DB • View critical engine alerts in the IoT Remote Monitoring web interface • Add a tag to IoT Edge Device Twin • View all data in Azure Time Series Insights
Our minimum class-size is 3 for this course. Currently, there are no scheduled dates for this course but it can be customized to suit the time schedule and skill needs of clients and may be held online or at our site or your premises. Click on the following link below to arrange for a custom course: Enquire about a course date
CANCELLATION POLICY – There is never a fee for cancelling seven business days before a class for any reason. Data Vision Systems reserves the right to cancel any course due to insufficient registration or other extenuating circumstances. Participants will be advised prior to doing so.