ML Ops
Configurable CI/CD pipelines, AML pipelines, and compute resources for ML Ops.
Accelerator Description
The ML Ops solution accelerator provides a deployable solution that can be used by development and data science teams to:
- Develop & train model(s) with reusable ML pipelines
- Package model(s) using containers to capture runtime dependencies for inference
- Validate model behavior – functionally, in terms of responsiveness, in terms of regulatory compliance
- Deploy model(s) - to cloud & edge, for use in real-time / streaming / batch processing
- Monitor model behavior & business value, know when to replace / deprecate a stale model
Process Description
Prerequisites
- Access to an Azure subscription
- Access to an Azure DevOps subscription
- Service Principal Account
Architecture
Use Case
- Continuous integration and deployment of Machine Learning models. (CI/CD)
- ML Ops to help data science teams collaborate accross the organization
- AI Solution Centre or Centre of Excellence
Accelerator Components
Branching Strategy
