Cortana Intelligence Suite End-to-End

  • 2016-12-21
  • 494

Cortana Intelligence Suite End-to-End

If you’d like to learn how to architect solutions in Cortana Intelligence Suite and how to build intelligence into your applications, don’t miss this workshop! Build an end-to-end solution to predict flight delays, taking into account the weather forecast, based on an in-depth scenario, in which a business travel company looks to differentiate itself and to provide added value to its corporate customers.

Join Microsoft Architects Todd Kitta and Jin Cho for a look at several components that are part of Cortana Intelligence Suite, including Azure Machine Learning, Azure Data Factory, Azure Storage, HDInsight Spark, Power BI, and Azure App Service. Get a look at the “what” and “why” of the technology, and help to expand your value as a data professional as you learn what’s possible with Cortana Intelligence Suite.

Note: To best follow along with the instructors, be sure to set up a free trial subscription of Microsoft Azure.

1 | Introduction to Cortana Intelligence Suite and Workshop Prerequisites
Get an introduction to Cortana Intelligence Suite and the workshop. Prepare prerequisites for the workshop in Azure.

2 | Exercise 1: Build & Deploy a Machine Learning Model
Go through Exercise 1, and build and deploy a machine learning model for the workshop.

3 | Exercises 2 & 3: Develop Azure Data Factory Pipeline
Go through Exercises 2 and 3. Develop an Azure Data Factory Pipeline, and move data.

4 | Exercise 4: Operationalize ML Scoring with Azure ML and Data Factory
Work through Exercise 4 to operationalize Machine Learning Scoring with Azure Machine Learning and Data Factory.

5 | Exercise 5: Summarize Data Using HDInsight Spark
Complete Exercise 5, and summarize data using HDInsight Spark.

6 | Exercise 6: Visualizing in Power BI
Go through Exercise 6, and see how to visualize data in Power BI.

7 | Exercise 7: Deploy Intelligence Web App
In Exercise 7, deploy the Intelligence Web App.

8 | Exercise 8: Cleanup of Azure Resources
Wrap up the course, complete Exercise 8, and clean up the Azure resources used in this workshop.
Learn

Get an introduction to Cortana Intelligence Suite and the workshop.
Prepare prerequisites for the workshop in Azure.
Build and deploy a Machine Learning Model for the workshop.
Develop an Azure Data Factory Pipeline, and move data.
Operationalize the Machine Learning Scoring with Azure Machine Learning and Data Factory.
Summarize data using HDInsight Spark.
See how to visualize data in Power BI.
Deploy the Intelligence Web App.
Clean up the Azure resources used in this workshop.

Prerequisites
None

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