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
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
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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.
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