Course HighlightsCOURSE
Developing Big Data Solutions with Azure Machine Learning

Developing Big Data Solutions with Azure Machine Learning

Learn how to build predictive solutions for big data using Microsoft Azure Machine Learning

Developing Big Data Solutions with Azure Machine Learning Highlights

Course Enrollment

Starts on

01 January 2019

Enrollment closes on
30 September 2019

  Course duration

Duration

  • Total 12 to 16 hours
  Course Fee

Fee

US$89 - US$149

Course Enrollment

Starts on

01 January 2019

Enrollment closes on
30 September 2019

Course duration

Duration

  • Total 12 to 16 hours
Course Fee

Fee

US$89 - US$149

Enrollment is Closed

About this course

This course is part of the Microsoft Professional Program Certificate in Big Data.

The past can often be the key to predicting the future. Big data from historical sources is a valuable resource for identifying trends and building machine learning models that apply statistical patterns and predict future outcomes.

This course introduces Azure Machine Learning, and explores techniques and considerations for using it to build models from big data sources, and to integrate predictive insights into big data processing workflows.

What you'll learn

  • How to create predictive web services with Azure Machine Learning
  • How to work with big data sources in Azure Machine Learning
  • How to integrate Azure Machine Learning into big data batch processing pipelines
  • How to integrate Azure Machine Learning into real-time big data processing solutions

Course Syllabus

Module 1: Introduction to Azure Machine Learning
Module 2: Building Predictive Models with Azure Machine Learning
Module 3: Operationalizing Machine Learning Models
Module 4: Using Azure Machine Learning in Big Data Solutions

Meet the instructors

Graeme Malcolm

Graeme Malcolm

Senior Content Developer Microsoft Learning Experiences

Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.

Dr. Steve Elston

Dr. Steve Elston

Managing Director Quantia Analytics, LLC

Steve is a big data geek and data scientist, with over two decades of experience using R and S/SPLUS for predictive analytics and machine learning. He holds a PhD degree in Geophysics from Princeton University, and has led multi-national data science teams across various companies

Course Outline

Enrollment is Closed
Welcome
Preparing for the Labs
Pre-Course Survey
What Is Azure Machine Learning Studio?
Provisioning an Azure Machine Learning Studio Workspace
Working with Workspaces
Datasets and Experiments
Notebooks
Managing Assets in Projects
The Cortana Intelligence Gallery
Further Reading
Check Your Learning
Data Sources in a Big Data Workflow
Types of Data Source
Importing Files from Azure Storage
Importing Data from Azure SQL Database
Considerations for Big Data Sources
Further Reading
Check Your Learning
Review Instructions
Question 1
Question 2
Question 3
What is Machine Learning?
Regression
Training a Regression Model
Classification
Training a Classification Model
Further Reading
Check Your Learning
Clustering
Creating a K-Means Clustering Model
Recommenders
Creating a Recommender
Further Reading
Check Your Learning
Review Instructions
Question 1
Question 2
Question 3
Workflow for Creating Predictive Solutions
Creating a Predictive Experiment
Deploying a Web Service
Testing a Web Service
Further Reading
Check Your Learning
Considerations for Web Services
Consuming a Web Service
Using Web Service Parameters
Managing Web Services
Further Reading
Check Your Learning
Review Instructions
Question 1
Question 2
Question 3
Introduction to Azure Data Factory
Predicting in a Pipeline
Using the AzureMLBatchExecution Activity
Retraining in a Pipeline
Using the AzureMLUpdateResource Activity
Further Reading
Check Your Learning
Introduction to Streaming Solutions in Azure
Azure ML Functions in Streaming Queries
Using a Web Service Function
Further Reading
Check Your Learning
Review Instructions
Question 1
Question 2
Question 3
Exam Instructions
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Question 14
Question 15
Post-Course Survey
Course Certificate

Earn your certificate

Once you have completed this course, you will earn your certificate.

Developing Big Data Solutions with Azure Machine Learning