This offering teaches you how IBM Watson OpenScale on IBM Cloud Pak for Data lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift, and how monitors impact business KPIs. You will also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production. Note: This course contains the same topics as W7069G Watson OpenScale Methodology WBT.

Skills Covered

  • Introduction to IBM Watson OpenScale
  • IBM Watson OpenScale architecture
  • Get started with IBM Watson OpenScale on IBM Cloud Pak for Data
  • Overview of Watson OpenScale monitors
  • Explore a use case
  • Build and configure the fairness monitor
  • Configure the quality monitor
  • Detect drift and configure the drift monitor
  • Configure application monitors

Who Should Attend

Analysts, Developers, Data Scientists and others who need to monitor machine learning jobs

Course Curriculum


  • Basic knowledge of cloud platforms, for example IBM Cloud
  • Basic understanding of machine learning models, and how they are used
  • IBM Cloud Pak for Data (V2.5.x): Foundations – 6X236G (recommended)

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Course Modules

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Training Options

Intake: Available Upon Request
Duration: 1 Day
Guaranteed: TBC
Modality: WBT

RM462.00Enroll Now


Exam & Certification

This course is not associated with any Certification.