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.
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
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Course Overview & Learning Roadmap
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Why Learn Docker & Kubernetes?
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Career Paths & Industry Opportunities
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CKA Certification Overview
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Course Learning Methodology
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What is Cloud Native?
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Virtualization vs Containers
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Docker, Kubernetes & CNCF Ecosystem
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How AI will be used throughout the course
Module 01 – AI-Assisted Learning Methodology
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Use of AI Assistants to Explain Linux, Docker & Kubernetes Commands
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Prompting AI to Draft Dockerfiles, YAML Manifests & Troubleshooting Steps
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Validate AI Output with Official Documentation, kubectl explain, Dry Runs & Tests
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Version-aware Prompting for Kubernetes APIs and Commands
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Protect Credentials, Secrets, Proprietary Code & Organizational Data
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Manual-first Practice followed by AI-assisted Review and Optimization
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Recognizing Hallucinations, Unsafe Commands & Incorrect Configurations
Module 02 – Linux Essentials for Kubernetes
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What is Linux?
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Why Linux for Containers & Kubernetes?
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Linux Architecture & Filesystem Hierarchy
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Shell Basics & File Management
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Users, Groups, Permissions & Sudo
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Package Management
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Services & Process Management
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SSH, Cron Jobs & Environment Variables
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Disk Management
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Logs & System Monitoring
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Linux Networking Utilities
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Essential Linux Troubleshooting Commands
Module 03 – Networking Essentials
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What is Computer Networking?
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Why Networking Matters?
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OSI & TCP/IP Models
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IP Addressing, CIDR, Subnetting & Routing
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DNS, DHCP, NAT & Firewalls
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HTTP, HTTPS, TLS & SSH
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Load Balancing
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Packet Flow Fundamentals
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Network Troubleshooting
Module 04 – YAML, Git & GitHub Essentials
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What is YAML and Why YAML?
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YAML Syntax & Best Practices
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AI-assisted YAML Generation, Explanation & Validation
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What is Version Control & Why Version Control for Kubernetes Manifests?
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Repository, Clone, Status, Add, Commit, Pull & Push
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Version-controlling Kubernetes YAML Files
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Basic Branch & Pull Request Workflow
Module 05 – Containerization & Docker Essentials
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Evolution from Physical Servers to Containers
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What are Containers and Why Containers?
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What is Docker & Why Docker?
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Docker Architecture & Components
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Docker Installation & CLI Basics
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Images, Containers & Lifecycle Management
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Dockerfile, Multi-stage Builds & Image Optimization
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Avoiding Secrets in Images, Dockerfiles & Build Contexts
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Image Tagging & Immutable Versioning Practices
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Docker Registry & Image Management (Docker Hub / Amazon ECR / Azure ACR)
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Docker Networking (Bridge, Host, None), DNS & Port Mapping
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Volumes, Bind Mounts & Storage Management
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Docker Compose for Multi-Container Applications
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Logging, Health Checks & Environment Variables
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Container Image Vulnerability Scanning
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Docker & Security Best Practices
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AI-assisted Dockerfile Drafting, Review & Optimization
Enterprise Project 01 – Containerize a Multi-tier Application
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Containerize Frontend, Backend & Database
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Build Optimized Images
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Deploy with Docker Compose
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Push Images to Docker Registry, Amazon ECR or Azure ACR
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Troubleshoot Containers
Module 06 – Container Orchestration with Kubernetes
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What Is Container Orchestration and Why Is It Used?
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Types of Container Orchestrators
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What is Kubernetes & Why Kubernetes?
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Kubernetes Architecture
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Control Plane & Worker Node Components
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Kubernetes Object Model
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Desired State & Reconciliation
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Kubernetes API & API Server
Module 07 – kubectl & Kubernetes API Fundamentals
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What Is kubectl?
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Installing and Configuring kubectl
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kubectl Command Structure
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Contexts and Namespaces
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API Resources, Versions and Kinds
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Imperative vs Declarative Management
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Dry Runs and Manifest Generation
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kubectl explain
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Output Formats, JSONPath and Custom Columns
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Command Autocompletion and Productivity
Module 08 – Cluster Installation & Configuration
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Self-Managed Kubernetes vs Cloud Managed Kubernetes
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K3s, Kubeadm, kOps, EKS, AKS & GKE Overview
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Kubernetes Cluster Setup & Installation Methods
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Kubernetes Version Skew Policy
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Kubernetes Package Repositories & Version Selection
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Kernel Modules, sysctl & Swap Configuration
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Container Runtime & CRI Configuration
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Preparing Linux Nodes
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Creating a Cluster with kubeadm
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Control-Plane Bootstrap & Static Pods
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Access clusters using kubectl
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Installing a CNI Plugin
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Joining and Removing Worker Nodes
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PKI & Certificate Management
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Cluster Upgrades
Module 09 – Authentication, Authorization & Cluster Security
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Why Kubernetes Security?
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Authentication & Authorization
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kubeconfig, Users, Groups & Cluster Access
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RBAC & Service Accounts
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Least-privilege Roles, RoleBindings & ClusterRoleBindings
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Kubernetes RBAC vs AWS IAM & Azure Identity Overview
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Safe Secret Handling & External Secret Stores Overview
Module 10 – Workloads, Configuration & Scheduling
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Namespaces, Labels, Selectors & Annotations
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Pods & Pod Lifecycle
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Multi-container Pods, Init Containers & Sidecars
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ConfigMaps, Secrets Management & Environment Variables
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Mounting Configuration into Pods
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Resource Requests & Limits
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Liveness, Readiness & Startup Probes
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ReplicaSets & Deployments
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Rolling Updates & Rollbacks
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StatefulSets & DaemonSets
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Jobs & CronJobs
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Node Selectors, Taints, Tolerations & Affinity
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PriorityClasses & PodDisruptionBudgets
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Application Scaling & the Horizontal Pod Autoscaler
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Workload Best Practices & Troubleshooting
Module 11 – Kubernetes Networking
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Why Kubernetes Networking?
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Kubernetes Networking Model
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Container Network Interface (CNI) and Pod-to-Pod Networking
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Services (ClusterIP, NodePort, LoadBalancer & Headless)
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EndpointSlices, CoreDNS & Service Discovery
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Cloud Load Balancer Integration on EKS & AKS
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Ingress, Ingress Controllers, IngressClass & TLS
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Gateway API Fundamentals
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GatewayClass, Gateway & HTTPRoute
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Validate & Troubleshoot Gateway API Traffic
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Network Policies
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DNS, Gateway and Network Troubleshooting
Module 12 – Kubernetes Storage
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What is Storage and Why Storage?
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Ephemeral vs Persistent Storage
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Kubernetes Volume Types
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emptyDir & hostPath
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Persistent Volumes (PV) & Persistent Volume Claims (PVC)
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Storage Classes & Dynamic Provisioning
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CSI Drivers & Cloud Storage Integration
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Access Modes & Reclaim Policies
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Storage Best Practices & Troubleshooting
Module 13 – Cluster Administration, Maintenance & Disaster Recovery
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ResourceQuotas & LimitRanges
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Node Cordon, Drain & Uncordon
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Node Maintenance
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Cluster Upgrade Planning
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etcd Backup, Restore & Validation
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Disaster Recovery Basics
Module 14 – Helm, Kustomize & Kubernetes Extensions
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What is Helm, Why Helm & Helm Architecture.
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Charts, Repositories & Values Files
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Release Management
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Helm Upgrade & Rollback
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Kustomize Bases, Overlays & Patches
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Custom Resource Definitions (CRDs) & Custom Resources
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Install, Configure & Troubleshoot an Operator
Module 15 – Monitoring, Logging & Observability
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Monitoring, Logging & Observability Fundamentals
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Kubernetes Events
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Container Standard Output and Standard Error
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kubectl logs for Multi-Container Pods and Previous Containers
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Metrics Server
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Resource Usage with kubectl top
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CPU, Memory and Node-Pressure Analysis
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Application & Cluster Resource Monitoring
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Prometheus Architecture Overview
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Grafana Dashboards Overview
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Log Aggregation Concepts
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AWS CloudWatch & Azure Monitor Overview
Module 16 – Kubernetes Troubleshooting
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Troubleshooting Methodology
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kubectl Debugging Techniques
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Control Plane & Worker Node Failures
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kubelet, Container Runtime & Pod Scheduling Issues
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CrashLoopBackOff, ImagePullBackOff & OOMKilled
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Pod-to-Pod Connectivity
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Services, Endpoints & EndpointSlices
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CoreDNS & Service Discovery
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NetworkPolicies, CNI, Ingress & Gateway API
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Storage Problems, Certificate, RBAC & Access Issues
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etcd Recovery
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Managed Kubernetes Integration Issues
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AI-assisted Log Interpretation & Troubleshooting Suggestions
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Validate AI Recommendations before Applying Cluster Changes
Enterprise Project 02 – Build & Administer a Kubernetes Cluster
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Build a Multi-node Cluster
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Configure Networking & Storage
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Configure ConfigMaps & Secrets
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Implement RBAC
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Deploy Multitier Applications
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Manage Applications with Helm
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Backup & Restore etcd
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Guided Deployment to Amazon EKS or Azure AKS
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Demonstrate Cloud Load Balancer & Storage Integration
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Compare Self-managed Kubernetes with Managed Kubernetes
Module 17 – Production Operations & Best Practices
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Kubernetes Hardening
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Production Image Security & Admission Controls Overview
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High Availability Concepts
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Resource Optimization
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Production Cluster Design
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Upgrade & Backup Strategies
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Application-data Backup vs etcd Backup
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Multi-environment Deployments
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Kubernetes Deployment Flow in CI/CD
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GitOps & Argo CD Overview
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Operational Runbooks & Incident Response
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Self-managed vs Managed Kubernetes
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Cloud Cost & Shared Responsibility Overview
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Production Readiness Checklist
Enterprise Project 03 – Production Kubernetes Administration Challenge
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Validate & Administer a Production-ready Cluster
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Deploy a Multi-tier Enterprise Application
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Configure Networking, Storage & Security
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Implement RBAC & Configuration Management
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Upgrade Kubernetes Cluster
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Backup & Restore etcd
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Break & Repair Cluster Components
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Diagnose a Cloud Integration Failure
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Solve Real-world Troubleshooting Scenarios
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Document Root Cause & Corrective Action
Module 18 – CKA Exam Overview & Guide
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CKA Exam Blueprint
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kubectl Speed Techniques
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Imperative Commands
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Documentation Navigation
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Practice Core Tasks without AI Assistance
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AI Assistants for Learning vs Independent CKA Exam Execution
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Common Exam Tasks
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Context & Task Validation
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Time Management Strategies
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Final Revision & Exam Tips
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