EncartaLabs

IBM Watson OpenScale on IBM Cloud Pak for Data

( Duration: 1 Day )

The IBM Watson OpenScale on IBM Cloud Pak for Data training course 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.

  • Basic knowledge of cloud platforms, for example IBM Cloud
  • Basic understanding of machine learning models, and how they are used
  • Attend a training on IBM Cloud Pak for Data - Foundations or equivalent practical experience

The IBM Watson OpenScale on IBM Cloud Pak for Data workshop is ideal for:

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

COURSE AGENDA

1

Introduction to IBM Watson OpenScale

  • Describe the problem that Watson OpenScale solves
  • Describe models, monitors, workflow
  • Describe AIF and AIE 360 toolkits
  • Describe workflow
2

IBM Watson OpenScale architecture

  • Describe OpenScale architecture on IBM Cloud and on IBM Cloud Pak for Data
  • Describe how Watson OpenScale works with other cloud services
3

Get started with IBM Watson OpenScale on IBM Cloud Pak for Data

  • Install the Watson OpenScale service
  • Work with Watson OpenScale on Cloud Pak for Data
4

Overview of Watson OpenScale monitors

  • Identify the different Watson OpenScale monitors
  • Describe how the monitors are used
5

Explore a use case

  • Prepare the model for monitoring
6

Build and configure the fairness monitor

  • Features to monitor
  • Values that represent a favorable outcome of the model
  • Reference and monitored groups
  • Fairness thresholds
  • Sample size
  • Insights and explainability
7

Configure the quality monitor

  • Quality alert threshold
  • Sample size
  • Insights and explainability
8

Detect drift and configure the drift monitor

  • Alert threshold
  • Sample size
  • Insights and explainability
9

Configure application monitors

  • Configure application monitors
  • Configure KPI metrics in Watson OpenScale
  • Configure event details
  • Access and visualize custom metrics

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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