1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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