In this module, you will work with a group to design a solution for ingesting and preparing historic flight delay and weather data and creating, training, and deploying a machine learning model that can predict flight delays. At the end of this module, you will have learned how to include a web application that obtains weather forecasts from a 3rd party, collects flight information from end-users, and sends that information to the deployed machine learning model for scoring. Part of the exercise will include providing visualizations of historic flight delays and orchestrating the collection and batch scoring of historic and new flight delay data.

This module is designed to provide exposure to many of Microsoft’s transformative line of business applications built using Microsoft big data and advanced analytics. By the end of this module, you will be able to show an end-to-end solution, leveraging many of these technologies but not necessarily doing work in every component possible.