Uploaded on Apr 14, 2025
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Microsoft Azure AI Online | Azure AI Course in Hyderabad
How Azure Handles
Model Versioning
and Updates
Subtitle:
Managing Machine Learning
Lifecycle in Azure
Introduction to Model Versioning
• Model versioning ensures
reproducibility, traceability, and
consistency in ML workflows.
• Azure provides robust tools to track,
manage, and update models.
• It helps in managing multiple iterations
of ML models efficiently.
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Azure Machine Learning Workspace
• Centralized place for managing
experiments, models, and
deployments.
• Keeps metadata for each model
version.
• Enables seamless collaboration
among data science teams.
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Model Registration
• Models are registered in the Azure ML
workspace with version numbers.
• Each registration creates a new version.
• Metadata such as framework,
parameters, metrics, and tags are
stored.
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Version Control in Azure ML
• Azure ML automatically assigns
incremental version numbers.
• Developers can compare,
deploy, or roll back to previous
versions.
• Integration with Azure DevOps
and Git enhances version
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Updating Models
• Use pipelines or scripts to automate
retraining and re-registration.
• Azure ML pipelines support scheduled
updates based on data triggers.
• Updated models are tested before
deployment using staging environments
.
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Deployment and Rollbacks
• Models can be deployed to
endpoints (AKS, ACI, Azure
Functions).
• Use Blue-Green or Canary
deployment strategies for safer
updates.
• Rollback is easy—just deploy an
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Monitoring and Continuous Improvement
• Azure Monitor and Application Insights
track model performance post-
deployment.
• Drift detection tools help identify when a
model needs retraining.
• Supports CI/CD pipelines for continuous
ML updates.
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Summary
• Azure ML simplifies model versioning
through automated tracking and
registration.
• Supports scalable deployment
and rollback mechanisms.
• Enables a full ML lifecycle with
governance and automation.
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For More Information About
Azure AI Engineer
Address:- Flat no: 205, 2nd Floor,
Nilagiri Block, Aditya Enclave, Ameerpet,
Hyderabad-16
Ph. No: +91-998997107
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[email protected]
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Thank You
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