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Microsoft

Course 40516-G: Microsoft Cloud Workshop: Intelligent Analytics

  • Duration: 1 days
  • Job Role: Developer

Course 40516-G: Microsoft Cloud Workshop: Intelligent Analytics

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In this workshop you will learn real-time analytics without IoT.You'll 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. You'll apply analytics to visualize customer sentiment in real-time, as well as view trending sentiment over time and create a bot that can answer questions and embed it in the custom web app.

You will be able to implement a lambda architecture, and enable web-based, real-time messaging through 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 “Summary” and “Skills gained” 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.

Prerequisites

  • Prerequisites have not been determined yet.

Course outline

Module 1: Whiteboard Design Session - Intelligent analytics

Module Overview

In this module, you will work with a group to design a solution for building a real-time chat pipeline, incorporating machine learning and analytics to detect and visualize customer sentiment. You will also design a lambda architecture to handle both real-time chat processing and data archiving as well as search indexing for analyzing all data flowing through the system. Finally, you will determine whether a bot can be incorporated in the solution, and how it fits alongside the messaging capabilities, you will have a better understanding about how to design a real-time intelligent chat solution in Azure, which is scalable, enhanced by pre-built machine learning models, and the role bots can play as part of your overall solution.

Lessons

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on Intelligent analytics Whiteboard Design Session.

Module 2: Hands-on Lab - Intelligent analytics

Module Overview

This module is designed to provide exposure to many of Microsoft’s transformative line of business applications built using Microsoft advanced analytics. The goal is to show an end-to-end solution, leveraging many of these technologies, but not necessarily doing work in every component possible, you will be more confident in the various services and technologies provided by Azure, and how they can be combined to build a real-time chat solution that is enhanced.

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on Intelligent analytics Hands-On Lab.

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