Introduction to machine learning operations (MLOps)
- Offered byMicrosoft
Introduction to machine learning operations (MLOps) at Microsoft Overview
Duration | 2 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to machine learning operations (MLOps) at Microsoft Course details
- Introduction to DevOps principles for machine learning
- Source control for machine learning projects
- Automate machine learning workflows
- Continuous deployment for machine learning
- Learn about which DevOps principles help in scaling a machine learning project from experimentation to production
- Machine learning operations (MLOps) applies DevOps principles to machine learning projects
- Learn how to work with source control for your machine learning projects
- Automate machine learning workflows with Azure Machine Learning pipelines, Azure Pipelines, and GitHub Actions
- Learn how to work with environments for continuous deployment of machine learning models
Introduction to machine learning operations (MLOps) at Microsoft Curriculum
Introduction to DevOps principles for machine learning
Introduction
DevOps for machine learning
DevOps tools
Integrate Azure Machine Learning with DevOps tools
Knowledge check
Summary
Source control for machine learning projects
Introduction
Repositories and trunk-based development
Work with Azure Repos and GitHub repos
Develop locally with Visual Studio Code
Verify your code locally
Knowledge check
Summary
Automate machine learning workflows
Introduction
Azure Machine Learning pipelines
Azure Pipelines
GitHub Actions
Knowledge check
Summary
Continuous deployment for machine learning
Introduction
Set up environments for development and production
Control deployments with approval gates
Knowledge check
Summary
Introduction to machine learning operations (MLOps) at Microsoft Entry Requirements
- Some familiarity with machine learning and Azure Machine Learning.
- Not mentioned
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