40516: Microsoft Cloud Workshop: Intelligent Analytics


40516: Microsoft Cloud Workshop: Intelligent Analytics Certification Training Course Overview

40516: Microsoft Cloud Workshop: Intelligent Analytics training course is designed to learn real-time analytics without IoT. In this training class, you will learn enable intelligent conversation in a machine learning enabled, real-time chat pipeline, and apply analytics to visualize customer sentiment in real time for hotel guests, allowing them to chat with one another, and to communicate directly with the concierge.

Target Audience:

This course is recommended 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.


Microsoft exam can be taken from home.

40516: Microsoft Cloud Workshop: Intelligent Analytics Course schedule & Prices

Schedule & Prices
Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 1 Day (2 Days for 4 Hours/Day)
Fee : On Request



July
8 Hours/Day
12
13
20
12-13
13-14
20-21
August
8 Hours/Day
03
09
10
17
03-04
09-10
10-11
17-18
September
8 Hours/Day
07
13
14
21
07-08
13-14
14-15
21-22
October
8 Hours/Day
05
05-06
Fly-Me-a-Trainer
Duration :
Client's Location
As per mutual convenience
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

Enquire Now




Input symbols

Course Prerequisites
  • No formal pre-requisites for this course.

Module 1: Whiteboard Design Session - Intelligent analytics

Lessons

  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution

Module 2: Hands-on Lab - Intelligent analytics

Lessons

  • Environment setup
  • Implement message forwarding
  • Configure the Chat Web App settings
  • Deploying the App Services
  • Add intelligence
  • Create Logic App for sending SMS notifications
  • Building the Power BI dashboard
  • Enabling search indexing
  • Add a bot using Bot service and QnA Maker