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.
Happy New Year 2026
Start 2026 right with exceptional rates on our Linux Foundation Kubernetes training. Train your teams for CKA, CKAD, and CKS certifications at a reduced price.
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
- 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.
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
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote