Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
Overview of Cloud Pac for Data Features and Architecture
- Red Hat OpenShift Container Platform
- Containers, Kubernetes, and Helm
- Red Hat OpenShift security
Setting up Cloud Pac for Data
- Pre-installation tasks
- Installation
- Post-installation tasks
Setting up a Workflows
- Setting up roles and permissions for collaboration
- Creating a workflow
- Searching and requesting data
Collecting Data
- Connecting to a data source
- Adding data to a project
Organizing Data
- Working with catalogs
- Curating catalog data
- Governing data to comply with regulations
- Automating the discovery process
Preparing Data
- Transforming data
- Refining data
- Virtualizing data
Analyzing Data
- Analyzing data using notebooks
- Analyzing data using other tools
- Analyzing data automatically using AutoAI
Implementing an AI Solution
- Building a machine learning model
- Deploying the model
- Validating the model
- Monitoring the model
Integrating Cloud Data Pac with Other Services
- Finding services in a catalog
- Finding services outside a catalog
- Integrating IBM Cloud Pak for Data with other applications
Administering Cloud Data Pac
- Managing an IBM Cloud Pak for Data cluster
- Managing an IBM Cloud Pak for Data web client
- Uninstalling Cloud Pak for Data
Troubleshooting
Summary and Conclusion
Requirements
- Experience with data processing and AI concepts
Audience
- Data Scientists
- Business Analysts
- Data Engineers
- Developers
- System Administrators
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
