Course 40516C: Microsoft Cloud Workshop: Intelligent Analytics

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Anytime accessNo
Anywhere access to recorded instructorNo
Microsoft official training contentYes
In-depth trainingYes
Hands-on labs No
SATV redemption Yes
Ask instructor questions in personYes
Attend live class in personYes
Attend live class remotelyYes
Time commitment
About this course
Technology:Azure
Level:Advanced
This Revision:C
Length:1 day
Language(s):English

First published:

14 May 2018
Overview
About this course
This package is designed to facilitate learning real-time analytics without IoT. Participants will enable intelligent conversation in a machine learning-enabled, real-time chat pipeline to allow hotel guests to chat with one another, and to communicate directly with the concierge. They will also apply analytics to visualize customer sentiment in real-time. After completion, students will be better able to implement a lambda architecture, and enable web-based real-time messaging thru Web Sockets, Event Hubs, and Services Bus.
Audience profile

This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas.  Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.

At course completion

Participants will better understand:

  • Leverage Cognitive Services (LUIS & Text Analytics API)
  • Process Events with Web Jobs
  • Index with Search
  • Archive with Cosmos DB
  • Visualize with Power BI Q&A


Course details
Course OutlineModule 1: Whiteboard Design Session - Intelligent analyticsLessons
  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution
Module 2: Hands-on Lab - Intelligent analyticsLessons
  • Environment setup
  • Implement message forwarding
  • Configure the Chat Web App settings
  • Deploying the App Services
  • Add intelligence
  • Building the Power BI dashboard
  • Enabling search indexing
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