Complete a web app using Machine Learning to predict travel delays given flight delay data and weather conditions. Plan the bulk data import operation, followed by preparation, such as cleaning and manipulating the data for testing, and training your Machine Learning model.
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.
Students will be better able to build a complete Azure Machine Learning (ML) model for predicting if an upcoming flight will experience delays. Students will also learn how to:
Integrate the Azure ML web service in a Web App for both one at a time and batch predictions
Analyze batch data with SQL Data Warehouse
Visualize batch predictions on a map using Power BI
Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We suggest students take this prerequisite prior to attending this workshop.
Microsoft Azure Essentials course, http://www.microsoft.com/en-US/azureessentials
Module 1: Whiteboard Design Session - Big Data & VisualizationLessons
Review the customer case study
Design a proof of concept solution
Call to action: Present the solution
Module 2: Hands-on lab unguided - Big Data & VisualizationLessons
Before the hands-on lab
Build a machine learning model
Set up Azure Data Factory
Develop data factory pipeline for data movement
Operationalize ML scoring with Azure ML and Data Factory
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.