Course 40531B: Microsoft Cloud Workshop: IoT for Business

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Anytime accessNo
Anywhere access to recorded instructorNo
Microsoft official training contentYes
In-depth trainingYes
Hands-on labs No
SATV redemption Yes
Ask instructor questions in personYes
Attend live class in personYes
Attend live class remotelyYes
Time commitment
About this course
Technology:Azure
Level:Advanced
This Revision:B
Length:1 day
Language(s):English

First published:

11 June 2018
Overview
About this course
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 predictive maintenance of city buses, including machine learning for anomaly 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 when a bulb is out. Easily view all of this information through a centralized reporting dashboard provided by Azure Time Series Insights.
Audience profile
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.
At course completion

Learning Objectives:

  • Use Azure IoT Edge to collect vehicle telemetry data, detect anomalies with the help of a local Azure Machine Learning model, and send the summarized data to Azure IoT Hub as needed
  • Use IoT Hub to manage IoT devices
  • Use Azure Time Series Insights to store, visualize, and query the large amounts of time series data generated by various IoT devices, as well as conduct root-cause analysis and anomaly detection
  • Build a customer application on top of Time Series Insights, using its available REST Query APIs
  • Use Azure Location Based Services to visualize bus location data on a map
Course details
Course OutlineModule 1: Whiteboard Design Session - IoT for business Lessons
  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution
Module 2: Hands-on Lab - IoT for businessLessons
  • Azure data, storage, and serverless environment setup
  • Provision additional Azure services
  • Create bus and traffic light simulated devices, and add alerts and filters
  • Create IoT Edge device and custom modules
  • Run a console app to view critical engine alerts from the Service Bus Queue
  • Create Azure Function App to ingest critical engine alerts and store them in Cosmos DB
  • View all data in Azure Time Series Insights
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