Open Source/OKD (Origin Kubernetes Distribution)


OKD (Origin Kubernetes Distribution) Certification Training Course Overview

The Community Distribution of Kubernetes that powers Red Hat OpenShift.

Built around a core of OCI container packaging and Kubernetes container cluster management, OKD is also augmented by application lifecycle management functionality and DevOps tooling. OKD provides a complete open source container application platform.

OKD is a distribution of Kubernetes optimized for continuous application development and multi-tenant deployment. OKD adds developer and operations-centric tools on top of Kubernetes to enable rapid application development, easy deployment and scaling, and long-term lifecycle maintenance for small and large teams. OKD is the upstream Kubernetes distribution embedded in Red Hat OpenShift.

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OKD (Origin Kubernetes Distribution) (40 Hours) Download Course Contents

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 5 Days (10 Days for 4 Hours/Day)
Fee : 1,800 (Includes Taxes) 
9 AM - 5 PM (Flexible Time Slots for 4 hours option)






February
8 Hours/Day
4 Hours/Day
01-05
07-11
01-12
07-18
March
8 Hours/Day
4 Hours/Day
01-05
07-11
08-12
01-12
07-18
08-19
April
8 Hours/Day
4 Hours/Day
05-09
11-15
12-16
19-23
05-16
11-22
12-23
19-30
Client's Location
As per mutual convenience

Classroom training is available in select Cities
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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Course Prerequisites

  • Be able to use a Linux terminal session and issue operating system commands.
  • Have Red Hat Certified System Administrator (RHCSA) certification or equivalent experience.
  • Have experience with web application architectures and their corresponding technologies.


Audience

  • Developers who wish to containerize software applications.
  • Administrators who are new to container technology and container orchestration.
  • Architects who are considering using container technologies in software architectures.

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