Introduction to Kubernetes and its importance

History, background, and future of Kubernetes

The need for container orchestration & the big picture

Use cases: What Kubernetes is designed for

Understanding microservices: What, why, and how

Containerization concepts and benefits

Docker and container lifecycle management

Creating and working with Docker images

Overview of Kubernetes architecture

Cluster components: Master and Worker nodes

Core concepts: Pods, ReplicaSets, Deployments, Services

Installation methods and options

Kubernetes API primitives

Pods, labels/selectors, replication controllers, and services

Networking primitives and service discovery

Deployments, jobs, and cron jobs

Declarative vs imperative management

Writing and using YAML configuration files

Interacting with Kubernetes using kubectl

Pod health checks (readiness & liveness probes)

Application monitoring and log management

Using label selectors for scheduling Pods

Managing resource requests and limits

Performing rolling updates and rollbacks

Configuration management for applications

Scaling applications (horizontal and vertical scaling)

Building self-healing applications with Kubernetes

Persistent volumes and claims

Storage classes and access modes

Kubernetes storage objects and usage

Configuring applications with persistent storage

Understanding Services in Kubernetes

Cluster networking configuration

Pod networking concepts

Service networking and DNS in Kubernetes

Load balancing in Kubernetes clusters

Configuring Ingress rules for external access

Identifying and fixing application failures

Troubleshooting control plane and worker nodes

Networking troubleshooting techniques

Managed Kubernetes solutions (EKS, AKS, GKE)

Deploying Kubernetes clusters on AWS (EKS)

Preparation guide for Kubernetes certifications (CKAD / CKA)