Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.
Microsoft Azure Machine Learning
Microsoft Azure Machine Learning
This course is part of multiple programs.
Instructor: Microsoft
20,250 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.4
(229 reviews)
Beginner level
Recommended experience
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
78%
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What you'll learn
How to describe capabilities of no-code machine learning with Azure Machine Learning Studio
How to identify core tasks in creating a machine learning solution
How to describe core machine learning concepts
How to identify common machine learning types
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
2 quizzes, 10 assignments
Taught in English
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There are 4 modules in this course
Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this module, you'll learn how to identify different kinds of machine learning model and how to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model.
What's included
3 videos8 readings1 quiz2 assignments1 discussion prompt1 plugin
Regression is a supervised machine learning technique used to predict numeric values. in this module, you will learn how to create regression models using Azure Machine Learning designer.
What's included
2 videos8 readings1 quiz2 assignments
Classification is a supervised machine learning technique used to predict categories or classes. In this module, you will learn how to create classification models using Azure Machine Learning designer.
What's included
2 videos8 readings3 assignments
Clustering is an unsupervised machine learning technique used to group similar entities based on their features. In this module, you will learn how to create clustering models using Azure Machine Learning designer.
What's included
2 videos9 readings3 assignments1 discussion prompt
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4.4
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Showing 3 of 229
SS
5
Reviewed on Jul 4, 2021
I thoroughly enjoyed understanding the basic AI concepts
JB
5
Reviewed on Aug 14, 2024
Fantastic hands on experience with the right mix of repetition and new content
SD
4
Reviewed on Feb 22, 2022
Course is good for the ML people who wants to try their hands on Microsoft Azure.
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Frequently asked questions
IT professionals interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them.
Working IT professionals looking for additional skills or credentials to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. IT professionals looking to specialize in the specific area of Artificial intelligence on Azure.
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.
You should expect to spend at least an hour every week for four weeks to complete all aspects of this course.
More questions
Financial aid available,