Course 40502C: Microsoft Cloud Workshop: Big Data & Visualization

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.

Duration: 1 Day | Location : Online

Course Prerequisites:
Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We sugg... Show More

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Virtual Lecturer-led Interactive Teaching (VLIT)

Virtual instruction environments are designed to simulate the traditional classroom or learning experience. Instructor-led training is still the number one delivery method of choice because it allows you to interact and discuss the training material, either individually or in a group setting, and you gain access to expert knowledge from certified instructors. This form of guided learning is impactful and produces positive learning outcomes. Day, evening and Saturday classes are offered.

Course Content

Module 1: Whiteboard Design Session – Big Data and Visualization

Lessons

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

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Module 2: Hands-On Lab – Big Data and Visualization

Lessons

Build a Machine Learning Model
Setup Azure Data Factory
Develop a data factory pipeline for data movement
Operationalize ML scoring with Azure ML and Data Factory
Summarize data using HDInsight Spark
Visualizing in Power BI Desktop
Deploy intelligent web app

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At course completion

Students will be better able to build a complete Azure Machine Learning (ML) model for predicting if an upcoming flight will experience delays. In addition,

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