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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. The aim of this course is to introduce the Azure Machine Learning and explores techniques and to integrate predictive insights into big data processing workflows.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: Microsoft

Course Curriculum

Welcome 00:01:00
Preparing for the Labs 00:05:00
Lesson 1
What Is Azure Machine Learning Studio? 00:01:00
Working with Workspaces 00:05:00
Datasets and Experiments 00:09:00
Notebooks 00:06:00
Managing Assets in Projects 00:02:00
The Cortana Intelligence Gallery 00:03:00
Data Sources in a Big Data Workflow 00:01:00
What Is Azure Machine Learning Studio? 00:01:00
Importing Files from Azure Storage 00:07:00
Importing Data from Azure SQL Database 00:02:00
Considerations for Big Data Sources 00:01:00
Lesson 2
What is Machine Learning? 00:03:00
Regression 00:04:00
Training a Regression Model 00:09:00
Classification 00:08:00
Training a Classification Model 00:07:00
Clustering 00:04:00
Creating a K-Means Clustering Model 00:04:00
Recommenders 00:02:00
Creating a Recommender 00:03:00
Lesson 3
Creating a Recommender 00:02:00
Creating a Predictive Experiment 00:12:00
Deploying a Web Service 00:04:00
Testing a Web Service 00:03:00
Considerations for Web Services 00:01:00
Consuming a Web Service 00:06:00
Using Web Service Parameters 00:03:00
Managing Web Services 00:04:00
Lesson 4
Introduction to Azure Data Factory 00:01:00
Predicting in a Pipeline 00:01:00
Using the AzureMLBatchExecution Activity 00:10:00
Retraining in a Pipeline 00:01:00
Using the AzureMLUpdateResource Activity 00:15:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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