Kubernetes Essentials with Linux & Docker Training in New York

Kubernetes Essentials with Linux & Docker Training in New York, USA

Master the fundamentals of Kubernetes, Linux, and Docker to build, deploy, and manage containerized applications at scale. Gain hands-on experience with orchestration, networking, and storage in a DevOps-driven environment.

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Kubernetes Essentials with Linux & Docker Training is a professional training program delivered by ProgNXT in New York, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Kubernetes Essentials with Linux & Docker Training course with hands-on, instructor-led sessions. This course provides a comprehensive introduction to Kubernetes, Linux, and Docker, equipping participants with the essential skills to containerize,...

Course Code: MLG42
21Hrs
Last Updated: September 2026

Course Rating5/5

This course provides a comprehensive introduction to Kubernetes, Linux, and Docker, equipping participants with the essential skills to containerize, deploy, and orchestrate applications in modern cloud-native environments. The training begins with a solid foundation in Linux system administration and Docker containerization, then progresses to Kubernetes architecture, core objects, networking, storage, and security. Through practical labs and real-world scenarios, learners will gain the confidence to manage containerized workloads, troubleshoot issues, and implement best practices for production-grade clusters.

Designed for IT professionals, developers, and system administrators, this course balances theoretical concepts with extensive hands-on exercises. Participants will learn to build Docker images, manage containers, deploy applications on Kubernetes, configure networking and storage, and secure clusters. By the end of the training, attendees will be prepared to leverage Kubernetes effectively in their organizations and pursue further certifications.

Basic familiarity with command-line interfaces
Understanding of fundamental networking concepts
Experience with any programming or scripting language is helpful but not required
No prior knowledge of Kubernetes, Docker, or Linux is assumed

Upon completion of this course, participants will be able to confidently work with Linux, Docker, and Kubernetes in a production environment. They will possess the skills to containerize applications, deploy them on Kubernetes clusters, configure networking and storage, and implement security best practices. Participants will also be prepared to troubleshoot common issues and optimize cluster performance, making them valuable assets to any DevOps or cloud-native team.

Proficiency in Linux command-line tools and system administration
Building, running, and managing Docker containers and images
Deploying and scaling applications using Kubernetes
Configuring Kubernetes networking, services, and ingress
Managing persistent storage and ConfigMaps/Secrets
Implementing security best practices with RBAC and network policies
Troubleshooting and monitoring Kubernetes clusters
Preparing for CKA/CKAD certification exams

Linux fundamentals and command-line operations
Docker containerization and image management
Kubernetes architecture and core components
Deploying and managing applications on Kubernetes
Kubernetes networking and service discovery
Persistent storage and configuration management
Security and access control in Kubernetes
Troubleshooting and monitoring clusters

Participants who successfully complete the training will receive an ProgNXT Certification in Kubernetes Essentials with Linux & Docker Training, validating their expertise in containerization, orchestration, and cloud-native application management.

Industry-recognized certificate
Demonstrates proficiency in Linux, Docker, and Kubernetes
Enhances career prospects in DevOps and cloud engineering

Linux Essentials for Containers

Linux file system hierarchy and navigation
Essential commands for file manipulation and text processing
User and group management, permissions
Process management and system monitoring
Networking basics and troubleshooting tools
Package management and software installation

Hands-on exercises

Docker Fundamentals

Introduction to containerization and Docker architecture
Installing and configuring Docker Engine
Working with Docker images and containers
Managing container lifecycle and data volumes
Building custom images with Dockerfiles
Docker networking and container communication
Docker Compose for multi-container applications

Hands-on exercises

Kubernetes Architecture and Installation

Kubernetes overview and cluster components
Control plane and worker node architecture
Installing Kubernetes using kubeadm
Setting up a local cluster with Minikube or kind
Understanding kubectl and cluster access

Hands-on exercises

Core Kubernetes Objects

Pods and their lifecycle
ReplicaSets and Deployments
DaemonSets and StatefulSets
Namespaces and resource quotas
Labels, selectors, and annotations
Horizontal Pod Autoscaling

Hands-on exercises

Kubernetes Networking

Cluster networking fundamentals
Services: ClusterIP, NodePort, LoadBalancer
Ingress controllers and resources
Network policies for pod isolation
DNS and service discovery

Hands-on exercises

Storage and Configuration

Volumes and persistent volumes
PersistentVolumeClaims and storage classes
ConfigMaps and Secrets
Environment variables and configuration injection
Stateful application storage considerations

Hands-on exercises

Security and Access Control

Authentication and authorization mechanisms
Role-Based Access Control (RBAC)
Service accounts and security contexts
Pod security standards and policies
Securing container images and runtime

Hands-on exercises

Application Deployment and Management

Rolling updates and rollbacks
Blue-green and canary deployments
Jobs and CronJobs
Managing application configuration
Using Helm for package management

Hands-on exercises

Monitoring and Troubleshooting

Logging and metrics collection
Monitoring tools and dashboards
Troubleshooting pod and node issues
Debugging networking and storage problems
Cluster maintenance and upgrades

Hands-on exercises

Best Practices and Production Readiness

Designing for high availability
Resource requests and limits
Backup and disaster recovery
CI/CD integration with Kubernetes
Cost optimization and cluster scaling

Hands-on exercises

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

Target Audience

System administrators and DevOps engineers
Software developers and architects
Cloud engineers and IT professionals
Anyone interested in container orchestration and cloud-native technologies

Evaluation

Continuous assessment through hands-on labs and exercises
Final assessment covering theoretical concepts and practical scenarios
Participation in class discussions and problem-solving activities

Kubernetes Essentials with Linux & Docker Training Events in new-york

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

7th Oct 2026→9th Oct 2026

📍 New York, USA

9th Oct 2026→11th Oct 2026

🌐 Online Instructor-Led

22nd Oct 2026→24th Oct 2026

📍 New York, USA

27th Oct 2026→29th Oct 2026

November 2026

🌐 Online Instructor-Led

4th Nov 2026→6th Nov 2026

📍 New York, USA

6th Nov 2026→8th Nov 2026

🌐 Online Instructor-Led

23rd Nov 2026→25th Nov 2026

📍 New York, USA

28th Nov 2026→30th Nov 2026

December 2026

🌐 Online Instructor-Led

1st Dec 2026→3rd Dec 2026

📍 New York, USA

3rd Dec 2026→5th Dec 2026

📍 New York, USA

22nd Dec 2026→24th Dec 2026

🌐 Online Instructor-Led

28th Dec 2026→30th Dec 2026

Events for other courses in New York, USA

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Kubernetes Essentials with Linux & Docker Training in New York