October 5, 2018 Mayank Baweja

Pricing information

100 credits


8 Hours


Application developer

AI Developer


Azure App Services

Azure Blob Storage

Azure SQL Database

Cognitive Services Face API

Data Lake Store

IoT Hub

Microsoft Machine Learning Server

Power BI Desktop

R Server cluster on HDInsight

R Tools for Visual Studio 2017

Visual Studio 2017

Intelligent Vending Machines – 8 HRS Hands-on Workshop

In this workshop, you will explore an IoT solution for intelligent vending machines, leveraging facial feature recognition and Azure machine learning, to gain a better understanding of building cloud-based machine learning apps and real-time analytics with SQL Database in-memory and columnar indexing.


2 H

Create Dynamic Pricing Model

Create a model locally
Try a prediction locally
Create the model in R Server on HDInsight
Create predictive service in R Server Operationalization

2 H

Implement dynamic pricing

Implement photo uploads to Azure Storage
Provision Cognitive Services Face API
Invoke Face API
Invoke pricing model
Configure the Simulator
Test dynamic pricing in Simulator

1 H

Implement purchasing

Create the transactions table
Configure the Simulator
Test purchasing

2 H

Implement device command and control

Provision IoT Hub
Listen for control messages
Send control messages
Configure the DeviceControlConsole and Simulator

0.5 H

Analytics with Power BI Desktop

Build the query and create the visualization