05B: Deployment

Materials:

Date: Friday, 30-Aug-2024.

Pre-work:

1. mlflow docs
2. kedro-mlflow tutorial

In-Class

1. Stream vs Batch Deployment
2. Hands-on Deploying models with mlflow on local server

Post-class:

1. Review Model Deployment from CS329s. [Note: Dr. Srinivas Rana will cover Model Compression, Quantization etc in his talk on Deployment on Edge]
2. Review Monitoring and Continual Learning from CS329s
3. Review Model Deployment chapter of ML Engineering book