This is a dedicated watch page for a single video.
You've been tasked with operationalizing a proof-of-concept ML model developed with Keras. This model was trained in a Jupyter notebook on a data scientist's local machine, which includes data validation and model analysis cells. Your goal is to automate and orchestrate these notebook steps for weekly retraining, considering an anticipated increase in training data volume. To optimize cost-efficiency and leverage managed services, what steps should you take?