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Microsoft Azure Machine Learning
This course is part of multiple programs. Learn more.
Course Cost
Free course
Beginner
Skill Level
9 Hours
Self-paced lessons
Machine learning is at the core of artificial intelligence, with many modern applications and services depending on predictive models. This comprehensive course teaches you how to use Azure Machine Learning to create and publish models without writing code. You'll explore automated machine learning to simplify the iterative model training process, and learn to create different types of models including regression for numeric predictions, classification for categorizing data, and clustering for grouping similar entities. Through practical hands-on exercises, you'll create Azure Machine Learning workspaces, explore data, train models, evaluate their performance, and deploy them as services. This course helps prepare you for the AI-900 Microsoft Azure AI Fundamentals certification exam while providing foundational knowledge applicable to other Azure role-based certifications.
What you'll learn
Understand core machine learning concepts and common machine learning types
Create and deploy no-code predictive models using Azure Machine Learning
Build regression models to predict numeric values using Azure Machine Learning designer
Develop classification models to categorize data into specific classes
Implement clustering models to group similar entities based on their features
Evaluate model performance and interpret results
Deploy machine learning models as services for real-world applications
Skills you'll gain
This course includes:
0.3 Hours PreRecorded video
2 quizzes, 10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course provides a comprehensive introduction to Azure Machine Learning, focusing on creating models without writing code. Students learn the fundamentals of machine learning concepts and how to apply them using Azure's designer interface. The curriculum is structured around four main machine learning techniques: automated machine learning, regression, classification, and clustering. For each technique, students complete hands-on exercises that walk through the entire ML workflow - from setting up an Azure Machine Learning workspace to deploying predictive services. The exercises follow a consistent pattern of creating resources, exploring data, building and running training pipelines, evaluating models, and deploying them as services. This practical approach ensures students gain experience with the complete machine learning lifecycle in Azure.
Use Automated Machine Learning in Azure Machine Learning
Module 1 · 3 Hours to complete
Create a Regression Model with Azure Machine Learning Designer
Module 2 · 2 Hours to complete
Create a Classification Model with Azure AI
Module 3 · 2 Hours to complete
Create a Clustering Model with Azure AI
Module 4 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Building AI Cloud Apps with Microsoft Azure, Microsoft Azure AI Fundamentals AI-900 Exam Prep
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Faculties
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Frequently asked Questions
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