Description
This notebook contains steps and code to demonstrate support of AI Lifecycle features in watsonx.ai Runtime service. It contains steps and code to work with ibm-watsonx-ai library available in PyPI repository. It also introduces commands for getting model and training data, persisting model, deploying model, scoring it, updating the model and redeploying it.
Some familiarity with Python is helpful. This notebook uses Python 3.11.