Introduction to Azure Machine Learning

Intermediate

LP Box Courses 2 Video Courses
LP Box quiz 1 Quiz Session
LP Box Lab 1 Hands-on Lab
Duration 2h 51m

This learning path will introduce you to the primary machine learning tools on Azure. Even if you don't have any previous experience with machine learning, that's okay, because the first course starts with an introduction to the basic concepts.

Machine learning is a notoriously complex subject, which usually requires a great deal of advanced math and software development skills. That’s why it’s so amazing that Azure Machine Learning Studio lets you train and deploy machine learning models without any coding, using a drag-and-drop interface. After taking the first course and the lab in this learning path, you will be able to create your own machine learning models using Azure Machine Learning Studio.

The second course will show you how to use Azure Machine Learning Workbench, a front-end for a variety of tools and services. Workbench is integrated with two Azure Machine Learning services: the Experimentation service and the Model Management service. Workbench allows you to use almost any Python-based machine learning framework to train your models.

Both of these courses include hands-on demos you can do yourself. Then you can test what you’ve learned by doing the lab and taking the exam.

Learning Objectives

  • Prepare data for use by an Azure Machine Learning Studio experiment
  • Train a machine learning model in Azure Machine Learning Studio
  • Deploy a model trained in Azure Machine Learning Studio to make predictions
  • Prepare data for use by an Azure Machine Learning Workbench experiment
  • Train a machine learning model in Azure Machine Learning Workbench
  • Deploy a model trained in Azure Machine Learning Workbench to make predictions

Prerequisites

  • Python experience
  • Microsoft Azure account (recommended)

Intended Audience

  • Anyone interested in machine learning

This Learning Path Includes

  • 2 video courses
  • 1 lab
  • 1 exam

Feedback

If you have thoughts or suggestions for this learning path, please contact Cloud Academy at support@cloudacademy.com.
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1

Course Description Machine learning is a notoriously complex subject, which usually requires a great deal of advanced math and software development skills. That’s why it’s so amazing that Azure Machine Learning Studio lets you train and deploy machine learning models without any coding, using a drag-and-drop interface. With this web-based software, you can create applications for predicting ...

2

Lab Overview Microsoft Azure Machine Learning Studio is a drag-and-drop tool that allows you to visually and collaboratively build, test, and deploy machine learning models. In this Lab, you will predict income levels using census data and compare the performance of two trained models in Azure Machine Learning Studio. You will see how easy it is to build powerful models without having to write a ...

3

Course Description Azure Machine Learning Workbench is a front-end for a variety of tools and services, including the Azure Machine Learning Experimentation and Model Management services. Workbench is a relatively open toolkit. First, you can use almost any Python-based machine learning framework, such as Tensorflow or scikit-learn. Second, you can train and deploy your models either on-premises ...

4

This exam will test your knowledge of the Azure Machine Learning concepts covered in this learning path.
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Introduction to Azure Machine Learning
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