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.

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.