COURSE AUTHOR –
1. MLOps- What are MLOps (Machine Learning Opeartions)?
2. MLOps: Components including Continuous X & Versioning
3. MLOps: Life Cycle Process ( End to End Learning Flow)
4. MLOps: Model Testing & Model Packaging in PMML and ONNX
5. MLOps: Workflow Decomposition & Production Environment
6. MLOps: Pre- Computing Serving Patterns
7. MLOps: Data, Machine Learning and Code Pipelines
8. MLOps: Offline & Live Evaluation & Monitoring
9. MLOPs: LinkedIn as a case example of large scale ML Deployment
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