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AI Assisted Docker & Kubernetes Administration Mastery | Hands-on, CKA-Aligned

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About Course

Welcome to the AI Assisted Docker & Kubernetes Administration Mastery Program.

Hands-On Labs | Enterprise Projects | Multi-Cloud Exposure | CKA-Aligned Preparation

 

This 60-hour instructor-led program provides a structured journey from essential Linux, networking and container fundamentals to practical Kubernetes administration.

 

Participants learn through live demonstrations, guided labs, troubleshooting exercises and a progressive enterprise capstone project. The program covers application containerization, Kubernetes workloads, networking, storage, security, cluster administration, upgrades, backup and recovery, Helm and CKA-aligned operational tasks.

 

The course includes concept material, session recordings and access to a hands-on lab environment to support learning and practice outside the live sessions.

 

This is an independent training program aligned with practical Kubernetes administration skills and major CKA curriculum domains. It is not an official Linux Foundation or CNCF course unless separately authorized.

 

CKA exam registration and certification are not included unless explicitly stated. Certification readiness depends on the participant’s prior experience, lab completion and independent practice.

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    What Will You Learn?

    • Linux, Networking, YAML and Git Essentials
    • Docker Images, Containers, Dockerfiles and Registries
    • Docker Networking, Storage and Multi-Container Applications
    • Kubernetes Architecture, Core Components and kubectl
    • Kubernetes Workloads, Configuration and Health Probes
    • Resource Management, Scheduling and Application Scaling
    • Kubernetes Services, DNS, Ingress and Network Policies
    • Persistent Storage, Volumes, PVCs and StorageClasses
    • Kubernetes Authentication, Service Accounts and RBAC
    • Kubernetes Cluster Setup Using kubeadm
    • Node Maintenance, Cluster Upgrades and etcd Recovery
    • Monitoring, Log Analysis and Real-World Troubleshooting
    • Application Deployment and Management Using Helm
    • Kubernetes Security and Production Best Practices
    • AI-Assisted Learning with Safe Validation Practices

    Course Content

    Module 00 – Course Orientation & Lab Setup

    • Course Overview & Learning Roadmap
    • Why Learn Docker & Kubernetes?
    • Career Paths & Industry Opportunities
    • CKA Certification Overview
    • Course Learning Methodology
    • What is Cloud Native?
    • Virtualization vs Containers
    • Docker, Kubernetes & CNCF Ecosystem
    • How AI will be used throughout the course

    Module 01 – AI-Assisted Learning Methodology

    Module 02 – Linux Essentials for Kubernetes

    Module 03 – Networking Essentials

    Module 04 – YAML, Git & GitHub Essentials

    Module 05 – Containerization & Docker Essentials

    Enterprise Project 01 – Containerize a Multi-tier Application

    Module 06 – Container Orchestration with Kubernetes

    Module 07 – kubectl & Kubernetes API Fundamentals

    Module 08 – Cluster Installation & Configuration

    Module 09 – Authentication, Authorization & Cluster Security

    Module 10 – Workloads, Configuration & Scheduling

    Module 11 – Kubernetes Networking

    Module 12 – Kubernetes Storage

    Module 13 – Cluster Administration, Maintenance & Disaster Recovery

    Module 14 – Helm, Kustomize & Kubernetes Extensions

    Module 15 – Monitoring, Logging & Observability

    Module 16 – Kubernetes Troubleshooting

    Enterprise Project 02 – Build & Administer a Kubernetes Cluster

    Module 17 – Production Operations & Best Practices

    Enterprise Project 03 – Production Kubernetes Administration Challenge

    Module 18 – CKA Exam Overview & Guide

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