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.

✓ Formation officielle Linux FoundationNiveau Intermediate⏱️ 3 jours (21h)

Ce que vous allez apprendre

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).

Prérequis

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.

Public cible

Experienced application developers who need to containerize, host, deploy, and configure an application in a multi-node cluster.

Programme de la Formation

9 modules pour maîtriser les fondamentaux

Sujets abordés

→Objectives
→Who You Are
→The Linux Foundation
→Linux Foundation Training
→Certification Programs and Digital Badging
→Platform Details

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.