Streamlining Machine Learning Workflows with Watsonx Studio Pipelines: A Hands-On Guide from Prompt Templates to Notebook Automation

This tutorial was originally published at developer.ibm.com

Co-authored: Aakriti Aggarwal, Avinash

Learning Objectives

By the end of this tutorial, you will have mastered the ability to:

Set up and configure watsonx studio and IBM Cloud Object Storage for efficient machine learning workflows.

Create and deploy customizable prompt templates to guide data processing and model training.

Design and automate pipelines to run parallel notebook jobs, ensuring faster and more scalable AI processing.

Schedule and monitor machine learning workflows in watsonx studio for continuous and efficient pipeline execution.

Optimize performance and implement best practices for large-scale deployments.

Understand and apply security considerations when working with sensitive data.

Prerequisites

Before you start, ensure you have:

• An IBM Cloud account with access to watsonx studio (version 1.5.0 or later).
• Basic knowledge of Python programming and Jupyter Notebooks.
• Familiarity with IBM Cloud Object Storage (COS).
• API keys and instance…