Microsoft Azure AI Online | Azure AI Course in Hyderabad

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Title: Microsoft Azure AI Online | Azure AI Course in Hyderabad


1
How Azure Handles Model Versioning and Updates
  • Subtitle
  • Managing Machine Learning Lifecycle in Azure

2
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.

www.visualpath.in
91-7032290546
3
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.

www.visualpath.in
91-7032290546
4
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.

www.visualpath.in
91-7032290546
5
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 tracking.

www.visualpath.in
91-7032290546
6
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.

www.visualpath.in
91-7032290546
7
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 easyjust deploy an older model
    version.

www.visualpath.in
91-7032290546
8
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.

www.visualpath.in
91-7032290546
9
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.

www.visualpath.in
91-7032290546
10
For More Information About Azure AI
Engineer Address- Flat no 205, 2nd Floor,
Nilagiri Block, Aditya Enclave, Ameerpet,
Hyderabad-16 Ph. No 91-998997107
www.visualpath.in online_at_visualpath.in
www.visualpath.in
91-7032290546
11
Thank You
www.visualpath.in
www.visualpath.in
91-7032290546
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