Azure IoT Training

IoT for Business hands-on lab is an exercise that will challenge you to implement an end-to-end scenario using a supplied sample that is based on IoT Hub, IoT Edge devices, Cosmos DB, Time Series Insights, Service Bus, and related Azure services. The hands-on lab can be implemented on your own, but it is highly recommended to pair up with other members at the lab to model a real-world experience and to allow each member to share their expertise for the overall solution.Enroll & Get Certified now!

  • ✔ Course Duration : 40 hrs
  • ✔ Training Options : Live Online / Self-Paced / Classroom
  • ✔ Certification Pass : Guaranteed

Azure IoT Training

IoT for Business hands-on lab is an exercise that will challenge you to implement an end-to-end scenario using a supplied sample that is based on IoT Hub, IoT Edge devices, Cosmos DB, Time Series Insights, Service Bus, and related Azure services. The hands-on lab can be implemented on your own, but it is highly recommended to pair up with other members at the lab to model a real-world experience and to allow each member to share their expertise for the overall solution.

What you will Learn

  • 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, configure alerts on device telemetry, send actions to devices, and view devices on a map
  • Use Azure IoT Edge to collect vehicle telemetry data, detect anomalies with the help of a local Azure Stream Analytics module, and send the summarized data to Azure IoT Hub as needed
  • 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
  • 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

PREREQUISITES

  • Microsoft Azure subscription (non-Microsoft subscription) where you are at least a co-administrator
  • Global Administrator role for Azure AD within your subscription

CURRICULUM

  • Set up a development environment
  • Disable IE Enhance Security
  • Validate connectivity to Azure
  • Download & explore the solution files
  • Execute CLI commands
  • Open new web application and stop running device simulation
  • Create service bus queue
  • Add consumer group to IoT Hub
  • Add custom endpoint and route to IoT Hub
  • Create custom IoT Hub route
  • Create Azure Time Series Insights instance
  • Provision Azure container registry
  • Provision new Linux virtual machine to run the IoT Edge device
  • Configure the SimulationAgent and WebService projects to run locally
  • Finish configuring the simulated IoT device models and scripts
  • Explore the remaining files to understand what is happening
  • Configure and run the Storage Adapter project
  • Run the Simulator web app and create a new simulation
  • Run the device simulation agent locally
  • Create alerts and filters in the monitoring web app
  • Send jobs to IoT devices
  • Add a new IoT Edge device
  • Install and start the IoT Edge runtime
  • Create and deploy the custom C# IoT Edge module for vehicle telemetry
  • Create the Azure Stream Analytics IoT Edge module
  • Deploy the custom modules to IoT Edge device
  • Make sure the Service Bus Queue is receiving messages
  • Configure and execute the ReadEngineAlerts solution in Visual Studio 2017
  • Create new Cosmos DB collection
  • Create a new Function App
  • Create a new Function
  • Add an Azure Cosmos DB output to the messages collection
  • Add an Azure Cosmos DB output to the critical-alerts collection
  • Modify the function code
  • View data stored by the function in Azure Cosmos DB
  • View the critical engine alerts in the IoT Remote Monitoring web interface
  • Add tag to Edge’s device twin and create new filter from it
  • Add your account as a Contributor to the Data Access Policies
  • Go to the Time Series Insights environment and use the data explorer
  • View the simulated and IoT Edge bus data side-by-side
  • Use Perspective View to create a simultaneous view of up to four unique queries

FAQs

You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
1. Online ,By deposit the mildain bank account
2. Pay by cash team training center location

Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

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