Microsoft
Build and Operate Machine Learning Solutions with Azure
Microsoft

Build and Operate Machine Learning Solutions with Azure

This course is part of Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

Taught in English

Some content may not be translated

 Microsoft

Instructor: Microsoft

6,473 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.1

(44 reviews)

Intermediate level

Recommended experience

31 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions

  • Work with Data and Computer in Azure Machine Learning

  • Use the Azure Machine Learning SDK to train a model. Select models and protect sensitive data

  • Orchestrate pipelines and deploy real-time machine learning services with Azure Machine Learning

Details to know

Shareable certificate

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Assessments

35 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.1

(44 reviews)

Intermediate level

Recommended experience

31 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Machine Learning expertise

This course is part of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Microsoft
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There are 6 modules in this course

Azure Machine Learning provides a cloud-based platform for training, deploying, and managing machine learning models. In this module, you will learn how to provision an Azure Machine Learning workspace. You will use tools and interfaces to work with Azure Machine Learning and run code-based experiments in an Azure Machine Learning workspace. finally, you will learn how to use Azure Machine Learning to train a model and register it in a workspace.

What's included

8 videos9 readings6 quizzes1 discussion prompt

Data is the foundation of machine learning. In this module, you will learn how to work with datastores and datasets in Azure Machine Learning, enabling you to build scalable, cloud-based model training solutions. You'll also learn how to use cloud compute in Azure Machine Learning to run training experiments at scale.

What's included

8 videos9 readings5 quizzes

Orchestrating machine learning training with pipelines is a key element of DevOps for machine learning. In this module, you'll learn how to create, publish, and run pipelines to train models in Azure Machine Learning. You'll also learn how to register and deploy ML models with the Azure Machine Learning service.

What's included

7 videos10 readings5 quizzes

Machine learning models are often used to generate predictions from large numbers of observations in a batch process. You will accomplish this using Azure Machine Learning to publish a batch inference pipeline. You will also leverage cloud-scale experiments to choose optimal hyperparameter values for model training.

What's included

6 videos6 readings5 quizzes

In this module, you will learn how to use automated machine learning in Azure Machine Learning to find the best model for your data. You will learn how differential privacy is a leading edge approach that enables useful analysis while protecting individually identifiable data values. You will also learn about the factors that influence the predictions models make.

What's included

13 videos8 readings7 quizzes

Machine learning models can often encapsulate unintentional bias that results in unfairness. In this module, you will learn how to use Fairlearn and Azure Machine Learning to detect and mitigate unfairness in your models. You will learn how to use telemetry to understand how a machine learning model is being used once it has been deployed into production. Finally, you will learn how to monitor data drift to ensure your model continues to predict accurately.

What's included

13 videos8 readings7 quizzes1 discussion prompt

Instructor

Instructor ratings
4.4 (5 ratings)
 Microsoft
Microsoft
67 Courses614,334 learners

Offered by

Microsoft

Recommended if you're interested in Machine Learning

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4.1

44 reviews

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DW
4

Reviewed on Dec 12, 2023

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