LFS458

Kubernetes Administration

From the cloud to hybrid environments and on-premise data centers, Kubernetes is essential to managing containerized applications, making it one of the highest-demand IT skills. Set your IT career up for success by learning the key concepts needed to build and administer a Kubernetes cluster, including application lifecycle management, configuring security, and more. In this live, instructor-led course you will learn with a cohort of fellow IT professionals while gaining key knowledge & skills related to the Certified Kubernetes Administrator (CKA) certification exam.

Linux Foundation
✓ Official training Linux FoundationLevel Intermediate⏱️ 4 days (28h)

What you will learn

  • Install a multi-node Kubernetes cluster using kubeadm
  • Grow a cluster, choose and implement cluster networking
  • Manage the application lifecycle, including scaling
  • Handle various methods of application lifecycle management, including updates and roll-backs
  • Configure security for both the cluster and containers
  • Manage storage available to containers
  • Monitor, log, and troubleshoot containers and the cluster
  • Configure scheduling and affinity of container deployments
  • Use Helm and Charts to automate application deployment
  • Understand Federation for fault-tolerance and higher availability

Prerequisites

  • Understanding of Linux administration skills
  • Comfortable using the command line
  • Ability to edit files using a command-line text editor

Target audience

  • IT professionals wishing to manage a containerized application infrastructure, Existing IT administrators, Individuals looking to start a cloud career

Training Program

18 modules to master the fundamentals

Topics covered

  • →The Linux Foundation Training
  • →The Linux Foundation Certifications
  • →The Linux Foundation Digital Badges
  • →Laboratory Exercises, Solutions and Resources
  • →Things Change in Linux and Open Source Projects
  • →E-Learning Course: LFS258
  • →Platform Details

Topics covered

  • →Define Kubernetes
  • →Cluster Structure
  • →Adoption
  • →Project Governance and CNCF
  • →Labs

Topics covered

  • →Getting Started With Kubernetes
  • →Minikube
  • →kubeadm
  • →More Installation Tools
  • →Labs

Topics covered

  • →Kubernetes Architecture
  • →Networking
  • →Other Cluster Systems
  • →Labs

Topics covered

  • →API Access
  • →Annotations
  • →Working with A Simple Pod
  • →kubectl and API
  • →Swagger and OpenAPI
  • →Labs

Topics covered

  • →API Objects
  • →The v1 Group
  • →API Resources
  • →RBAC APIs
  • →Labs

Topics covered

  • →Deployment Overview
  • →Deployments and Replica Sets
  • →DaemonSets
  • →Labels
  • →Labs

Topics covered

  • →Helm Overview
  • →Helm
  • →Using Helm
  • →Kustomize Overview
  • →Labs

Topics covered

  • →Volumes Overview
  • →Volumes
  • →Persistent Volumes
  • →Rook
  • →Passing Data To Pods
  • →ConfigMaps
  • →Labs

Topics covered

  • →Overview
  • →Accessing Services
  • →DNS
  • →Labs

Topics covered

  • →Overview
  • →Ingress Controller
  • →Ingress Rules
  • →Service Mesh
  • →Limitations
  • →Gateway API
  • →Labs

Topics covered

  • →Overview
  • →Scheduler Settings
  • →Pod Specification
  • →Affinity Rules
  • →Taints and Tolerations
  • →Labs

Topics covered

  • →Overview
  • →Troubleshooting Flow
  • →Basic Start Sequence
  • →Monitoring
  • →Plugins
  • →Logging
  • →Troubleshooting Resources
  • →Labs

Topics covered

  • →Overview
  • →Custom Resource Definitions
  • →Aggregated APIs
  • →Labs

Topics covered

  • →Overview
  • →Accessing the API
  • →Authentication and Authorization
  • →Admission Controller
  • →Network Policies
  • →Labs

Topics covered

  • →Overview
  • →Stacked Database
  • →External Database
  • →Labs

Topics covered

  • →Evaluation Survey

Topics covered

  • →CKA Exam
  • →Exam Domain Review

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Upcoming sessions

January 26, 2026
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April 7, 2026
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July 6, 2026
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October 5, 2026
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February 24, 2026
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May 25, 2026
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September 7, 2026
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November 16, 2026
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March 24, 2026
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May 25, 2026
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June 16, 2026
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August 18, 2026
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September 7, 2026
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November 16, 2026
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December 1, 2026
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2,800€ excl. VAT

per learner