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Intelligent Vending Machines: 1-Day Workshop

Dynamics Edge

This instructor-led workshop details how to implement an IoT solution for intelligent vending machines. Use Azure Machine Learning to drive on-demand pricing, real-time analytics, and messaging flows.

This instructor-led workshop details how to implement an IoT solution for intelligent vending machines leveraging facial feature recognition and Azure Machine Learning to drive on-demand pricing, enable real-time analytics, and cloud to device messaging flows.

What You’ll Learn

  • How to build cloud-based machine learning applications and real-time analytics with SQL Database inmemory and columnar indexing
  • Implementing distributed machine learning with R Server for HDInsight & MS R Server Operationalization
  • Facial image processing
  • Wrangling Data in Power BI Desktop

Prerequisites

  • Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design.
  • We recommend taking a Microsoft Azure Essentials course before enrolling in this workshop

Workshop Outline

Module 1: Whiteboard Design – Intelligent Vending Machines

  • Review the customer case study
  • Call to action: Design a proof of concept solution
  • Call to action: Present the solution

Module 2: Hackathon – Intelligent Vending Machines

  • Before the hackathon
  • Environment setup
  • IoT Hub provisioning
  • Completing the Smart Meter Simulator
  • Hot path data processing with Stream Analytics
  • Cold path data processing with HDInsight Spark
  • Reporting device outages with IoT Hub Operations

Monitoring

  • Cleanup
https://gallery.azure.com/artifact/20151001/dynamicsedge.de40504-intelligent-vending-machines.1.0.3/Artifacts/SampleImage/c7d1b9ea-5609-4cc3-b8f1-ebf5a7451b28.png
https://gallery.azure.com/artifact/20151001/dynamicsedge.de40504-intelligent-vending-machines.1.0.3/Artifacts/SampleImage/c7d1b9ea-5609-4cc3-b8f1-ebf5a7451b28.png