End to end machine learning operations (MLOps) with Azure Machine Learning
- Offered byMicrosoft
End to end machine learning operations (MLOps) with Azure Machine Learning at Microsoft Overview
Duration | 3 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
End to end machine learning operations (MLOps) with Azure Machine Learning at Microsoft Course details
- Use an Azure Machine Learning job for automation
- Trigger Azure Machine Learning jobs with GitHub Actions
- Trigger GitHub Actions with trunk-based development
- Work with linting and unit testing in GitHub Actions
- Work with environments in GitHub Actions
- Deploy a model with GitHub Actions
- 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 how to take your machine learning model from experimentation to production by using Azure Machine Learning jobs
- Learn how to protect your main branch and how to trigger tasks in the machine learning workflow based on changes to the code
- Learn how to automate code checks whenever you update code for machine learning workloads
End to end machine learning operations (MLOps) with Azure Machine Learning at Microsoft Curriculum
Use an Azure Machine Learning job for automation
Introduction
Understand the business problem
Explore the solution architecture
Create Azure Machine Learning jobs
Exercise
Knowledge check
Summary
Trigger Azure Machine Learning jobs with GitHub Actions
Introduction
Understand the business problem
Explore the solution architecture
Use GitHub Actions for model training
Exercise
Knowledge check
Summary
Trigger GitHub Actions with trunk-based development
Introduction
Understand the business problem
Explore the solution architecture
Trigger a workflow
Exercise
Knowledge check
Summary
Work with linting and unit testing in GitHub Actions
Introduction
Understand the business problem
Explore the solution architecture
Run linting and unit testing
Exercise
Knowledge check
Summary
Work with environments in GitHub Actions
Introduction
Understand the business problem
Explore the solution architecture
Set up environments
Exercise
Knowledge check
Summary
Deploy a model with GitHub Actions
Introduction
Understand the business problem
Explore the solution architecture
Model deployment
Exercise
Knowledge check
Summary
End to end machine learning operations (MLOps) with Azure Machine Learning at Microsoft Entry Requirements
- Programming experience with Python or RExperience developing and training machine learning modelsFamiliarity with basic Azure Machine Learning concepts
- Not mentioned
End to end machine learning operations (MLOps) with Azure Machine Learning at Microsoft Admission Process
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