LFD459
Kubernetes for App Developers
Learning to build Kubernetes applications will open up career opportunities in high-demand roles in DevOps, cloud engineering & containerization roles. Using Python, this course teaches how to define application resources & use core primitives to build, monitor & troubleshoot scalable applications in Kubernetes — including working with network plugins, security & cloud storage to deploy applications in a production environment. This course prepares you for the Certified Kubernetes Application Developer (CKAD) exam.
What you will learn
- Define application resources in Kubernetes.
- Use core primitives to build, monitor, and troubleshoot scalable applications.
- Work with network plugins, security, and cloud storage.
- Deploy applications in a production environment.
- Gain key knowledge & skills related to the Certified Kubernetes Application Developer (CKAD).
Prerequisites
- Basic Linux command line and file editing skills and familiarity with a programming language (such as Python, Node.js, Go).
- Knowledge of Cloud Native application concepts and architectures.
Target audience
- Experienced application developers who need to containerize, host, deploy, and configure an application in a multi-node cluster.
Training Program
9 modules to master the fundamentals
Topics covered
- →Objectives
- →Who You Are
- →The Linux Foundation
- →Linux Foundation Training
- →Certification Programs and Digital Badging
- →Platform Details
Topics covered
- →What Is Kubernetes?
- →Components of Kubernetes
- →Challenges
- →The Borg Heritage
- →Kubernetes Architecture
- →Terminology
- →Control Plane Node
- →Worker Nodes
- →Pods
- →Services
- →Operators
- →Single IP per Pod
- →Networking Setup
- →CNI Network Configuration File
- →Pod-to-Pod Communication
- →Cloud Native Computing Foundation
- →Resource Recommendations
- →Labs
Topics covered
- →Container Options
- →Containerizing an Application
- →Creating the Dockerfile
- →Hosting a Local Repository
- →Creating a Deployment
- →Running Commands in a Container
- →Multi-Container Pod
- →readinessProbe
- →livenessProbe
- →startupProbe
- →Testing
- →Helm
- →Kustomize
- →Labs
Topics covered
- →Traditional Applications: Considerations
- →Decoupled Resources
- →Transience
- →Flexible Framework
- →Managing Resource Usage
- →Using Label Selectors
- →Multi-Container Pods
- →Sidecar Container
- →Adapter Container
- →Ambassador
- →initContainer
- →Custom Resource Definitions
- →Points to Ponder
- →Jobs
- →Labs
Topics covered
- →Volumes Overview
- →Introducing Volumes
- →Volume Spec
- →Volume Types
- →Shared Volume Example
- →Persistent Volumes and Claims
- →Persistent Volume
- →Persistent Volume Claim
- →Dynamic Provisioning
- →Secrets
- →Using Secrets via Environment Variables
- →Mounting Secrets as Volumes
- →Portable Data with ConfigMaps
- →Using ConfigMaps
- →Deployment Configuration Status
- →Scaling and Rolling Updates
- →Deployment Rollbacks
- →Labs
Topics covered
- →Security Overview
- →Accessing the API
- →Authentication
- →Authorization
- →RBAC
- →RBAC Process Overview
- →Admission Controller
- →Security Contexts
- →Pod Security Standards
- →Network Policies
- →Network Policy Example
- →Default Policy Example
- →Labs
Topics covered
- →Service Types
- →Services Diagram
- →Service Update Pattern
- →Accessing an Application with a Service
- →Service without a Selector
- →ClusterIP
- →NodePort
- →LoadBalancer
- →ExternalName
- →Ingress Resource
- →Ingress Controller
- →Service Mesh
- →Labs
Topics covered
- →Troubleshooting Overview
- →Basic Troubleshooting Steps
- →Ongoing (Constant) Change
- →Basic Troubleshooting Flow: Pods
- →Basic Troubleshooting Flow: Node and Security
- →Basic Troubleshooting Flow: Agents
- →Monitoring
- →Logging Tools
- →Monitoring Applications
- →System and Agent Logs
- →Conformance Testing
- →More Resource
- →Labs
Topics covered
- →Evaluation Survey
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
February 2, 2026
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May 18, 2026
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August 3, 2026
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November 2, 2026
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March 9, 2026
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April 8, 2026
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June 17, 2026
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September 23, 2026
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October 21, 2026
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December 14, 2026
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January 12, 2026
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March 9, 2026
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April 8, 2026
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June 17, 2026
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July 20, 2026
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September 23, 2026
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October 21, 2026
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December 14, 2026
Distanciel • Français
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote