IBM Cloud Pak for Data (V3.5.x): Foundations - eLearning - 6X436G - WBT - EU

This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. A generic use case will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This WBT contains instructional and interactive content, demonstrations and hands-on exercises (on Cloud Pak for Data on IBM Cloud).

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 

• Administer the platform • Describe a typical workflow

• Create an analytics 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 virtualize data using the Data Virtualization service

• Describe how you can refine data using the Data Refinery service 

• Identify how you can access trusted master data with IBM Master Data Connect

• Describe how you can build trust in unstructured data with IBM Watson Knowledge Catalog Instascan

• Identify how you can manage test data using Virtual Data Pipeline (VDP) Analyze data

• Identify how you can analyze data in IBM Cloud Pak for Data 

• Automate building machine learning models with AutoAI experiment 

• Deploy machine learning models

• Analyze data using notebooks 

• Identify other tools that you can use to analyze data Infuse data • Identify how you can perform self-service analytics with Cognos Analytics

• Describe how you can extract answers from complex business documents with Watson Discovery

• Identify how you can deliver engaging, unified problem-solving experiences with Watson Assistant

• Describe you can accurately transcribe the human voice with Watson Speech to Text

• Identify how you can convert written text to natural-sounding speech with Watson Text to Speech • Describe how you can automate planning, budgeting, and forecasting with Planning Analytics Assessment