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Classroom Contents
MLflow and Azure Machine Learning - The Power Couple for ML Lifecycle Management
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- 1 Intro
- 2 Why ML Lifecycle Management
- 3 Machine Learning Process
- 4 ML Flow Components
- 5 ML Flow Model Lifecycle
- 6 ML Ops
- 7 Demo
- 8 Install MLflow
- 9 Set MLflow API
- 10 Import SDKs
- 11 Azure Machine Learning Workspace
- 12 MLflow Tracking URI
- 13 Create Sample Application
- 14 Create Model Script
- 15 MLflow API
- 16 MLflow Experiments
- 17 MLflow Tracking Server
- 18 What Next
- 19 Build Image
- 20 Test Environment
- 21 Register Model
- 22 Metrics
- 23 Deployments
- 24 Governance
- 25 Usage Quota
- 26 Summary
