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End-to-end machine learning operations (MLOps) with Azure Machine Learning
Machine learning operations (MLOps) applies DevOps principles to machine learning projects. In this learning path, you'll learn how to implement key concepts like source control, automation, and CI/CD to build an end-to-end MLOps solution.
Learn about:
- Use an Azure Machine Learning job for automation
- Trigger Azure Machine Learning jobs with GitHub Actions
- Trigger GitHub Actions with feature-based development
- Work with linting and unit testing in GitHub Actions
- Work with environments in GitHub Actions
Prerequisites
- Programming experience with Python or R
- Experience developing and training machine learning models
- Familiarity with basic Azure Machine Learning concept
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Resource details
Contributed by: | Generative AI |
Authored by: |
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Licence: | More information on licences |
Last updated: | 22 September 2025 |
First contributed: | 14 August 2025 |
Audience access level: | Full user |
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