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
* 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
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