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