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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 (5)
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.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.
Cristian Tudose - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire
The thing I liked the most about the training was the organization and the location
