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IBM Cloud Pak for Data (V2.5.x): Foundations - eLearning

  • Tuition USD $162
  • Reviews star_rate star_rate star_rate star_rate star_half 1509 Ratings
  • Course Code 6X236G-WBT
  • Duration 6.5 hours
  • Available Formats Self Paced

This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises

This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This learning is relevant for Cloud Pak for Data and Cloud Pak for Data System.

Skills Gained

- Introduction to IBM Cloud Pak for Data 
- Red Hat OpenShift Container Platform: overview 
- Collaboration and workflows 
- Collect data 
- Organize data 
- Prepare data 
- Analyze data 
- Services and integrations 
- Administer the platform 
- Assessment

Who Can Benefit

Data Engineer, Data Steward, Data Scientist, Business Analyst, Application Developer, Administrator

Prerequisites

IBM Demo assets: IBM Cloud Pak for Data (https://www.ibm.com/demos/collection/IBM-Cloud-Pak-for-Data/)

Course Details

Course Outline

Introduction to IBM Cloud Pak for Data 
- Describe IBM Cloud Pak for Data 
- Identify how IBM Cloud Pak for Data makes you ready for artificial intelligence (AI) 
- Describe, at a high level, the IBM Cloud Pak for Data architecture 
- Describe how to collaborate within IBM Cloud Pak for Data 
- Describe the typical end-to-end data and analytics workflow in IBM Cloud Pak for Data 
- Identify what you will be doing in this training 

Red Hat OpenShift Container Platform: overview 
- Describe how the Red Hat OpenShift Container Platform relates to IBM Cloud Pak for Data 
- Describe the role of containers, Kubernetes, and Helm 
- Describe how Red Hat OpenShift is a layered system 
- Describe, at a high level, the Red Hat OpenShift architecture 
- Describe, at a high level, how Red Hat OpenShift is secured 

Collaboration and workflows 
- Identify the default roles in IBM Cloud Pak for Data 
- Describe how permissions work in IBM Cloud Pak for Data 
- Describe a typical workflow 
- Create a project 
- Search for data 
- Request data 

Collect data 
- Identify how you connect to data sources in IBM Cloud Pak for Data 
- Identify ways in which you can add data to a project 
- Identify supported data sources 
- Describe how to work with an integrated database 
- Create a connection to a data source 

Organize data 
- Describe the Watson Knowledge Catalog service and what you can do with it 
- Describe how you can work with catalogs 
- Describe how you can govern and curate data using Watson Knowledge Catalog 
- Identify how governance artifacts and governance tools work together 
- Identify how you can govern data to comply with regulations 
- Perform automated discovery and work with the default catalog 

Prepare data 
- Identify ways in which you can prepare data for use in projects 
- Describe how to transform data using the DataStage service 
- Refine data using the Data Refinery service 
- Virtualize data using the Data Virtualization service 

Analyze data 
- Identify how you can analyze data in IBM Cloud Pak for Data 
- Analyze data using notebooks 
- Identify other tools that you can use to analyze data 
- Automatically analyze your data using the AutoAI tool 
- Deploy machine learning (ML) models 

Services and integrations 
- Identify how you can extend the functionality of IBM Cloud Pak for Data 
- Identify the services that are available in the catalog 
- Identify the services that are available outside of the catalog 
- Describe how you can address common business issues by using industry accelerators 
- Describe how you can integrate IBM Cloud Pak for Data with other applications 

Administer the platform 
- Identify how you can administer the cluster for IBM Cloud Pak for Data 
- Identify how you can administer the web client for IBM Cloud Pak for Data 

Assessment 

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

ExitCertified did a good job in hosting this course. From the instructor to facilities. Good job!

Excellent course. Ruben Lopez is an outstanding instructor. Learned tons of information. Would recommend ExitCertified to anyone!

Good experience . have taken 3 course till date and each of them helped my career.

The course was conducted in a methodical and in a timely manner. Very professional.

The virtual classroom and labs were a great way to get training during the COVID-19 pandemic.

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