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