IBM logo

IBM Data and AI Learning Product Skills Validation Digital Badge Program

You are in: IBM Data and AI Learning Product Skills Validation Digital Badge Program > IBM Cloud Pak for Data

IBM Cloud Pak for Data

Note: To access this content and receive your badge, you must have an IBM ID with the same email address that you used for your Credly account. If you do not have an IBM ID, create your IBM account.



Data Fabric Badges

Badge

Introduction to Data Fabric with IBM Cloud Pak for Data

The successful badge earner can clearly explain the term data fabric including the business benefits of a data fabric solution. The earner can analyze the business benefits of a data fabric solution, describe how IBM delivers a data fabric solution, identify the building blocks of IBM’s data fabric architecture, and can demonstrate the working of various tools within IBM Cloud Pak for Data platform that form a data fabric solution.

SKILLS:

Data Architecture, Databand, Data Governance, Data Integration, Data Observability, Data Replication, DataStage, Data Virtualization, Knowledge Catalog, Watson Query

WHAT IT TAKES TO EARN THIS BADGE:



IBM Cloud Pak for Data V4.8 Solution Architect Badges

Badge

Managing ModelOps with IBM Cloud Pak for Data V4.8

This badge earner has gained the skills to be able to summarize the Cloud Pak for Data ModelOps workflow, construct a simple predictive model, and select services that align to the goals of a data-driven organization.

SKILLS:

AI, Cloud Paks, Data Scientist, Hybrid Cloud, Kubernetes, ModelOps, Platform Administrator, Red Hat OpenShift Container Platform, Solution Architect, Watson Machine Learning, Watson Query, Watson Studio

WHAT IT TAKES TO EARN THIS BADGE:



IBM Cloud Pak for Data V4.8 Administration Badges

Badge

IBM Cloud Pak for Data 4.8: Installation

The successful badge earner completed this professional-level course and can plan the installation, collect all required information for the installation, set up environment variables, prepare the cluster for IBM Cloud Pak for Data on-premises installation, install the shared cluster components for all IBM Cloud Pak for Data instances, and install the IBM Cloud Pak for Data platform and services on top of it. The earner can also upgrade IBM Cloud Pak for Data.

SKILLS:

Cloud Pak for Data, Platform Administration, Red Hat OpenShift Container Platform, Kubernetes, Linus

WHAT IT TAKES TO EARN THIS BADGE:



IBM Cloud Pak for Data V4.7 Administration Badges

Badge

Monitoring and platform APIs for IBM Cloud Pak for Data V4.7

The successful badge earner can explain the Cloud Pak for Data monitoring and alerting framework, set up the SMTP settings and alert forwarding, configure the monitoring stack, perform routine Cloud Pak for Data monitoring, use platform APIs to review events and monitors, and deploy a custom monitor.

SKILLS:

Cloud Pak for Data, API, Prometheus, System Administrator, Monitoring

WHAT IT TAKES TO EARN THIS BADGE:



IBM Cloud Pak for Data V4.6 Solution Architect Badges

Badge

Managing ModelOps with IBM Cloud Pak for Data V4.6

The successful badge earner can summarize the Cloud Pak for Data ModelOps workflow, construct a simple predictive model, and select services that align to the goals of a data-driven organization.

SKILLS:

AI, Cloud Paks, Data Scientist, ModelOps, Solution Architect, Watson Machine Learning, Watson Query, Watson Studio

WHAT IT TAKES TO EARN THIS BADGE:



IBM Cloud Pak for Data V4.5 Administration Badges

Badge

Installation of IBM Cloud Pak for Data (v4.5)

The successful badge earner can configure the settings to prepare the environment for Cloud Pak for Data installation, perform the installation of the Cloud Pak for Data platform and additional services, verify whether the Cloud Pak for Data installation completed successfully, and uninstall Cloud Pak for Data and any dependent services.

SKILLS:

Kubernetes, Linux, Platform Administration, Red Hat OpenShift Container Platform

WHAT IT TAKES TO EARN THIS BADGE:

Badge

Administration of IBM Cloud Pak for Data (v4.5)

The successful badge earner can summarize the core technologies of IBM Cloud Pak for Data, including how to collect and analyze platform data, and administer the platform. The earner can manage and monitor cluster nodes, pods, users, and services.

SKILLS:

Kubernetes, Linux, Platform Administration, Platform APIs, Platform Security, Red Hat OpenShift Container Platform

WHAT IT TAKES TO EARN THIS BADGE:

Badge

Troubleshooting IBM Cloud Pak for Data (v4.5)

The successful badge earner is able to devise strategies to troubleshoot common issues that might occur in a cluster when Cloud Pak for Data is installed. After identifying the issue, the badge earner must resolve the issue in a running cluster environment. The earner is also able to assess and verify a cluster’s health and gather diagnostic information from the cluster and Cloud Pak for Data.

SKILLS:

AI, Command-line interface, Web interface, Docker Container, Hybrid Cloud, Kubernetes, Cloud Pak for Data, Linux, Microservice, Nodes, Pods, Private Cloud, Platform Administration, Red Hat OpenShift Container Platform, Scaling, Scheduling, Troubleshooting

WHAT IT TAKES TO EARN THIS BADGE:

NOTICE: IBM leverages the services of Credly, a 3rd party data processor authorized by IBM and located in the United States, to assist in the administration of the IBM Digital Badge program. In order to issue you an IBM Digital Badge, your personal information (name, email address, and badge earned) will be shared with Credly. You will receive an email notification from Credly with instructions for claiming the badge. Your personal information is used to issue your badge and for program reporting and operational purposes. IBM may share the personal information collected with IBM subsidiaries and third parties globally. It will be handled in a manner consistent with IBM privacy practices. The IBM Privacy Statement can be viewed here: https://www.ibm.com/privacy/us/en/. IBM employees can view the IBM Internal Privacy Statement here: https://w3.ibm.com/w3publisher/w3-privacy-notice.