Implement trustworthy AI and data governance on AWS using IBM Cloud Pak for Data

Overview

This learning path consists of step-by-step tutorials and patterns that walk you through the process of streamlining data integration, data governance, analytics, and data virtualization on AWS. It also covers building models on Amazon SageMaker and monitoring these models using IBM OpenScale deployed on SageMaker and IBM Cloud Pak for Data for fairness, quality, and drift metrics, as well as creating data visualizations and dashboards on IBM Cognos Analytics. You can learn a no-code approach for building and deploying machine learning models on Cloud Pak for Data with minimal data science background. Public pandemic data is used to demonstrate how you can build an effective pandemic management system on AWS using Cloud Pak for Data.

Skill level

Beginner to Intermediate

Estimated time to complete

Approximately 5 hours

Learning objectives

This learning path covers the following topics:

• Data access and governance using IBM Cloud Pak for Data
• Mitigating SageMaker bias and drift using IBM Watson OpenScale
• Generating visualizations and analytics using IBM Cognos Analytics on AWS
• Building machine learning models with or without code in a collaborative data science environment