IBM Cloud Pak for Data (V2.5.x): Foundations

Introduction to IBM Cloud Pak for Data • Describe IBM Cloud Pak for Data • Identify how IBM Cloud Pak for Data makes you ready for artificial intelligence (AI) • Describe, at a high level, the IBM Cloud Pak for Data architecture • Describe how to collaborate within IBM Cloud Pak for Data • Describe the typical end-to-end data and analytics workflow in IBM Cloud Pak for Data • Identify what you will be doing in this training Red Hat OpenShift Container Platform: overview • Describe how the Red Hat OpenShift Container Platform relates to IBM Cloud Pak for Data • Describe the role of containers, Kubernetes, and Helm • Describe how Red Hat OpenShift is a layered system • Describe, at a high level, the Red Hat OpenShift architecture • Describe, at a high level, how Red Hat OpenShift is secured Collaboration and workflows • Identify the default roles in IBM Cloud Pak for Data • Describe how permissions work in IBM Cloud Pak for Data • Describe a typical workflow • Create a project • Search for data • Request data Collect data • Identify how you connect to data sources in IBM Cloud Pak for Data • Identify ways in which you can add data to a project • Identify supported data sources • Describe how to work with an integrated database • Create a connection to a data source Organize data • Describe the Watson Knowledge Catalog service and what you can do with it • Describe how you can work with catalogs • Describe how you can govern and curate data using Watson Knowledge Catalog • Identify how governance artifacts and governance tools work together • Identify how you can govern data to comply with regulations • Perform automated discovery and work with the default catalog Prepare data • Identify ways in which you can prepare data for use in projects • Describe how to transform data using the DataStage service • Refine data using the Data Refinery service • Virtualize data using the Data Virtualization service Analyze data • Identify how you can analyze data in IBM Cloud Pak for Data • Analyze data using notebooks • Identify other tools that you can use to analyze data • Automatically analyze your data using the AutoAI tool • Deploy machine learning (ML) models Services and integrations • Identify how you can extend the functionality of IBM Cloud Pak for Data • Identify the services that are available in the catalog • Identify the services that are available outside of the catalog • Describe how you can address common business issues by using industry accelerators • Describe how you can integrate IBM Cloud Pak for Data with other applications Administer the platform • Identify how you can administer the cluster for IBM Cloud Pak for Data • Identify how you can administer the web client for IBM Cloud Pak for Data Assessment 

Data Engineer, Data Steward, Data Scientist, Business Analyst, Application Developer, Administrator

IBM Demo assets: IBM Cloud Pak for Data (https://www.ibm.com/demos/collection/IBM-Cloud-Pak-for-Data/)

• Introduction to IBM Cloud Pak for Data • Red Hat OpenShift Container Platform: overview • Collaboration and workflows • Collect data • Organize data • Prepare data • Analyze data • Services and integrations • Administer the platform • Assessment