October 5, 2018 Mayank Baweja

Pricing information

100 credits

Duration

8 Hours

Audience

Application developer

AI Developer

Technologies

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.

Agenda

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