Kubernetes Basics to Advanced Training by AcadNXT is designed to provide participants with end-to-end expertise in container orchestration, starting from core Kubernetes fundamentals to advanced cluster management concepts. This instructor-led program covers architecture, workloads, networking, storage, configuration management, scaling, security, observability, and troubleshooting. Participants will learn how to deploy, manage, and optimize containerized applications in Kubernetes clusters for production-grade environments. The course is ideal for DevOps engineers, cloud engineers, and developers working with containerized systems.

• Understand Kubernetes architecture in depth
• Deploy and manage containerized applications
• Configure services, networking, and ingress
• Implement scaling and resource management
• Manage ConfigMaps and Secrets effectively
• Apply security and RBAC concepts
• Troubleshoot cluster and workload issues
• Build production-ready Kubernetes deployments

• DevOps Engineers
• Cloud Engineers
• System Administrators
• Site Reliability Engineers (SREs)
• Backend Developers
• Platform Engineers
• IT Professionals transitioning to Kubernetes
• Infrastructure Engineers

• Basic understanding of Linux command line
• Familiarity with Docker and container concepts
• Basic knowledge of networking fundamentals
• Understanding of application deployment concepts
• Awareness of cloud computing basics is helpful

• Understanding Kubernetes architecture and components
• Deploying and managing applications in Kubernetes clusters
• Working with pods, deployments, and services
• Implementing scaling and load balancing strategies
• Managing ConfigMaps and Secrets
• Configuring persistent storage solutions
• Applying advanced scheduling concepts
• Implementing cluster networking fundamentals
• Monitoring and troubleshooting workloads
• Applying Kubernetes production best practices

After completing Kubernetes Basics to Advanced Training, participants will be able to confidently deploy, manage, and troubleshoot applications in Kubernetes environments. Learners will gain strong practical skills in cluster management, workload orchestration, networking, scaling, and production-grade Kubernetes operations.

Kubernetes Fundamentals

• Introduction to container orchestration
• Kubernetes architecture overview
• Cluster components (master and worker nodes)
• kubectl basics and cluster interaction
• Pods and containers lifecycle

Workloads and Controllers

• Deployments and ReplicaSets
• Scaling applications
• Rolling updates and rollbacks
• Jobs and CronJobs overview
• Labels and selectors

Services and Networking Basics

• Service types (ClusterIP, NodePort, LoadBalancer)
• Service discovery concepts
• Internal and external communication
• Ingress basics
• Basic networking flow in Kubernetes

Configuration and Storage

• ConfigMaps and Secrets
• Environment variable management
• Persistent Volumes and Persistent Volume Claims
• Storage classes overview
• Stateful vs stateless applications

Advanced Scheduling and Scaling

• Node scheduling concepts
• Resource requests and limits
• Horizontal Pod Autoscaler (HPA)
• Affinity and anti-affinity rules
• Cluster scaling concepts

Security Basics in Kubernetes

• Kubernetes security overview
• Role-Based Access Control (RBAC)
• Service accounts
• Namespace isolation
• Basic security best practices

Observability and Troubleshooting

• Logging in Kubernetes
• Monitoring cluster health
• Debugging pod and deployment failures
• Events and diagnostics
• Performance monitoring basics

Advanced Concepts Overview

• DaemonSets and StatefulSets
• Ingress controllers deep dive
• Cluster upgrades overview
• Multi-environment strategies
• Production readiness checklist

Mini Project and Practical Implementation

• Deploying multi-tier application on Kubernetes
• Configuring services, storage, and scaling
• Applying ConfigMaps and Secrets
• Implementing monitoring and troubleshooting
• Final project review and optimization

• Kubernetes architecture and components
• Pods, deployments, and services
• Networking and ingress concepts
• Storage and persistence
• Scaling and scheduling
• Security and RBAC basics
• Monitoring and troubleshooting
• Mini project implementation

• Kubernetes cluster setup exercises
• Deployment and service configuration tasks
• Scaling and autoscaling assignments
• Configuration and storage implementation activities
• Mini project development and evaluation
• Troubleshooting scenarios

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in Kubernetes Basics to Advanced Training, validating their expertise in Kubernetes architecture, cluster management, workload orchestration, scaling, security, and production deployments.