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Microsoft Cloud Workshop: IoT and the Smart City (MOC 40531)

 

Kursüberblick

In this workshop you will use the unique benefits of Internet of Things (IoT) to build a smart city solution to help improve traffic and public transportation in New York City. Use a combination of the power of the cloud, along with IoT Edge devices to provide anomaly detection of city buses, engine anomalies and aggressive driving detection, location broadcasting to update bus route status, and to send traffic information to help inform the timing of traffic lights. Traffic lights will also receive new IoT devices that can help detect maintenance and performance issues, such as voltage irregularities. Easily view all this information through a centralized reporting dashboard provided by Azure Time Series Insights. Use the IoT Remote Monitoring starter solution to manage and simulate IoT devices, set alerts, and view data on a map.

Zielgruppe

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.

Kursziele

By the end of this workshop, you will learn to use IoT Hub to manage IoT devices, configure and run the IoT Remote Monitoring starter solution to provision, manage, and simulate telemetry for IoT devices via IoT Hub SDKs, use Azure IoT Edge to collect vehicle telemetry data, detect anomalies, and send the summarized data to Azure IoT Hub as needed. In addition, you'll create a custom endpoint in IoT Hub to route critical alerts to a Service Bus Queue, create an Azure function that extracts critical alerts from the Service Bus Queue and stores them in Cosmos DB, as well as use Azure Time Series Insights to store, visualize, and query the large amounts of time series data generated by various IoT devices and conduct root-cause analysis and anomaly detection.

Kursinhalt

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
Online Training

Dauer 1 Tag

Preis (exkl. MwSt.)
  • 1.090,- €
  • SA Voucher: 1
    hardcoded default SA
Digitale Kursunterlagen

Sprache der Kursunterlagen: Englisch

Classroom Training

Dauer 1 Tag

Preis (exkl. MwSt.)
  • Deutschland: 1.090,- €
  • Schweiz: CHF 840,-
  • SA Voucher: 1
    hardcoded default SA
inkl. Verpflegung
Verpflegung umfasst:

  • Kaffee, Tee, Saft, Wasser, Cola
  • Gebäck und Süßigkeiten
  • Frisches Obst
  • Mittagessen in einem der naheliegenden Restaurants

Gilt nur bei Durchführung durch Fast Lane. Termine, die von unseren Partnern durchgeführt werden, beinhalten ggf. ein abweichendes Verpflegungsangebot.


Digitale Kursunterlagen

Sprache der Kursunterlagen: Englisch

Kurstermine

Dies ist ein Instructor-led Online Training, das über WebEx in einer VoIP Umgebung durchgeführt wird. Sollten Sie Fragen zu einem unserer Online-Kurse haben, können Sie uns jederzeit unter +49 (0)40 25334610 oder per E-Mail an info@flane.de kontaktieren.
Englisch
2 Stunden Differenz
06.09.2020 Online Training Zeitzone: UTC+4
3 Stunden Differenz
06.12.2020 Online Training Zeitzone: UTC+4
Deutschland

Zur Zeit sind keine Termine verfügbar.  Fragen Sie an via info@flane.de.