Microsoft Azure AI Online | Azure AI Course in Hyderabad
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How Azure Handles Model Versioning and Updates Subtitle: Managing Machine Learning Lifecycle in Azure
Introduction to Model Versioning 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
Azure Machine Learning Workspace 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
Model Registration 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
Version Control in Azure ML 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
Updating Models 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
Deployment and Rollbacks 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 older model version. www.visualpath.in +91-7032290546
Monitoring and Continuous Improvement 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
Summary 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
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