Kurs IBM Cloud Pak for Data (V4.x) Foundations (6XL536G)
This learning offering tells a holistic story of Cloud Pak for Data and how you can extend the functions with services and integrations. You will explore some of the services and see how they enable effective collaboration across an organization. In this course, you will use Watson Knowledge Catalog, Data Virtualization, and Watson Studio (including Data Refinery and AutoAI). You will also examine some of the external data sets and industry accelerators that are available on the platform.
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By the end of this course, you will be able to:
- Describe the Cloud Pak for Data implementation stack
- Summarize the Cloud Pak for Data workflow that implements the ModelOps process
- Construct a simple predictive model that reflects a typical Data Fabric solution
- Examine external data sets and industry accelerators that promote trustworthy AI
- Select services that align to the goals of a data-driven organization
Anyone who wants to gain foundational knowledge of IBM Cloud Pak for Data
Before you start this course, you should be able to complete the following tasks:- Explain the purpose of Cloud Pak for Data and the value it brings to the business- Describe its basic architecture - State its deployment options- Differentiate between Cloud Pak for Data and Red Hat OpenShift Container Platform- Define the AI Ladder and its associated roles and services- Identify the types of projects and how to collaborate on the platform- Log in to Cloud Pak for Data and create an analytics project You can review these skills in the Solution Architect – Associate learning path.
Das Training findet auf Deutsch statt.