Microsoft Azure Machine Learning for Data Scientists

Microsoft uses Azure Machine Learning to create and publish predictive models with limited coding. Automated ML and designer workflows support regression, classification and clustering. The provider places this course within its DP-100 preparation sequence, although completing the course does not award the certification.

What you will learn

• Use automated machine learning to train a predictive model.
• Create regression, classification or clustering workflows.
• Explain how an Azure model is prepared for publication.

Who this suits

Intermediate learners with basic computer literacy; general programming experience is beneficial according to Microsoft.

Before you enroll

Check current Azure ML features and lab access. Cloud resources can incur additional charges, and the current certification exam objectives may differ from the course’s original sequence.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Compare an automated model with a simple baseline. Record the chosen metric, data split and deployment assumptions before deciding whether the result is useful.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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