Detailed Course Outline
Machine Learning Ops Overview
- Creating an ML Ops tenant
- External authentication
- Project repository
- Source control
- Model registr
- Training
- Deployments
- Data sources
- Notebooks HPE
Personas Overview
- Platform administrator (site administrator)
- Project administrator
- Project member
Project Repository Setup
- Initial access to HPE Ezmeral Container Platform
- Setting up ML Ops environment and project repository
- ML Ops clusters
Training Cluster Setup
- Creating a training cluster
- Training cluster configurations
- Training cluster
- Accessing Python training cluster outside of HPE
Ezmeral Container Platform
- General notes on training clusters
Notebook Setup
- Creating a notebook cluster
- Notebook cluster configuration
- More details on notebooks on ML Ops
- Create notebook with training cluster
- Review
- Training first model
Model Registry and Deployment
- Model registry
- Model registry configurations
- More details on model registry
- Deployments (Method 1)
- Deployments clusters
- Register and deploy the model
Inference
- “Ready” deployment cluster
- Doing inference
- Walkthrough of scoring script
- Local notebook to ML Ops training cluster