COURSE OBJECTIVE:
After completing this course, you should 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 industry accelerators that promote trustworthy AI
• Select services that align to the goals of data-driven organizations
TARGET AUDIENCE:
Architect, Consultant, Data Specialist, Program Management
COURSE PREREQUISITES:
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 the architecture of Cloud Pak for Data
• Differentiate between Cloud Pak for Data and Red Hat OpenShift Container Platform
• Define the AI Ladder and its associated roles and services
You can review these skills in the Solution Architect – Associate learning path.
COURSE CONTENT:
• Introduction
• Explore the Cloud Pak for Data environment
• Create a project for analyzing data
• Collect the data
• Govern the data
• Prepare the data
• Analyze the data
• Monitor the model
• Consider other scenarios
• Review and evaluation
FOLLOW ON COURSES:
Not available. Please contact.