Last Updated : 10 Jul 2025

Advanced Kubernetes Course Overview

The Advanced Kubernetes course is designed to deepen learners' expertise in Orchestrating containerized applications using Kubernetes, focusing on advanced concepts and best practices. Throughout the course, participants will gain hands-on experience with complex Kubernetes features and tools.

Module 1 lays the foundation with the installation and configuration of a Kubernetes cluster, including the setup of ETCD clusters, Control plane components, Worker nodes, and kubectl configuration. This is critical for understanding the underlying architecture of a highly available Kubernetes setup.

Module 2 revisits the essentials of managing resources such as Pods, Services, and Deployments, essential for maintaining applications in a Kubernetes cluster.

In Module 3, storage solutions are explored, including Storage classes and Persistent volumes, which are crucial for stateful applications.

Module 4 focuses on managing stateful applications using StatefulSets, which is a key component of Kubernetes' advanced concepts.

Module 5 covers Logging and monitoring, essential for maintaining the reliability and efficiency of a Kubernetes cluster.

Module 6 delves into the networking aspect of Kubernetes, including DNS management, Ingress, and Load balancing, which are fundamental for application accessibility.

Module 7 introduces Helm, a package manager that simplifies the deployment of applications on Kubernetes.

Finally, Module 8 educates learners on Istio service mesh, which provides advanced Traffic management capabilities and observability into microservices.

This course is instrumental for professionals aiming to master advanced Kubernetes techniques, ensuring they are equipped to design, deploy, and manage complex Kubernetes ecosystems efficiently.

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Course Fee	1,950
Total Fees	1,950 (USD)

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Course Fee	1,450
Total Fees	1,450 (USD)

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

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Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

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Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

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Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

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Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

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Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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Course Prerequisites

To ensure that participants are well-prepared for the Advanced Kubernetes course and can fully benefit from its content, the following prerequisites are considered essential:

Fundamental understanding of containerization concepts and technologies, particularly Docker.
Basic knowledge of Linux/Unix command-line operations and familiarity with shell scripting.
Prior experience with using Kubernetes, including the understanding of core components such as pods, services, deployments, and the ability to perform basic operations within a Kubernetes cluster.
Familiarity with YAML syntax, as it is commonly used for defining Kubernetes objects and configurations.
Basic understanding of networking concepts, including TCP/IP, DNS, and load balancing.
Experience with a text editor (such as Vim, Nano, or Visual Studio Code) for editing configuration and definition files.

These prerequisites are designed to ensure a smooth learning experience and the ability to engage with the course material effectively. They are not meant to discourage interested learners but to set a foundation that will help them succeed in mastering advanced Kubernetes topics.

Advanced DevOps Tools - Git, Ansible, Kubernetes on baremetal and Azure, CI/CD with Jenkins

Advanced Docker Concepts and Container Orchestration

AKS with Basic Linux Fundamentals and Docker

Architecting with Google Kubernetes Engine

Certified Kubernetes Security Specialist (CKS)

Kubernetes Boot Camp (CKA + CKAD + CKS)

Kubernetes Security and CI/CD

Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

Advanced Kubernetes

Kubernetes Security and CI/CD

Kubernetes storage expert

Target Audience for Advanced Kubernetes

The Advanced Kubernetes course by Koenig Solutions is tailored for IT professionals aiming to master orchestration and management of containerized applications.

DevOps Engineers
System Administrators
Cloud Engineers
Software Developers with a focus on microservices architecture
IT Project Managers overseeing containerization projects
Site Reliability Engineers (SREs)
Technical Leads responsible for maintaining high-availability systems
Infrastructure Architects designing scalable cloud solutions
Application Developers looking to understand the deployment environment
Security Professionals involved in container security
Network Engineers interested in Kubernetes networking aspects
Technical Support Specialists seeking to enhance their troubleshooting skills
IT Professionals preparing for Kubernetes certification exams

Learning Objectives - What you will Learn in this Advanced Kubernetes?

Introduction to the Course's Learning Outcomes:

Gain in-depth knowledge of Kubernetes' architecture, installation, and configuration, and master advanced features like storage, networking, and application deployment to effectively manage containerized applications at scale.

Learning Objectives and Outcomes:

Design a highly available and scalable Kubernetes cluster tailored to specific organizational requirements.
Install and configure Kubernetes components "the hard way" to deepen understanding of system internals.
Bootstrap and manage an ETCD cluster, ensuring a robust and reliable data store for your Kubernetes cluster.
Establish a secure and efficient Kubernetes Control Plane for cluster management tasks.
Configure Kubernetes worker nodes to enable seamless pod scheduling and execution.
Gain proficiency in using kubectl, the Kubernetes command-line tool, for cluster operations.
Validate Kubernetes installation to ensure all components are functioning correctly and securely.
Manage Kubernetes resources, including pods, services, deployments, and DaemonSets, to maintain application availability and scaling.
Implement persistent storage solutions within Kubernetes, allowing stateful applications to operate reliably.
Leverage Helm to streamline the deployment and management of applications on Kubernetes, including chart creation and version control.
Understand and apply advanced networking concepts, including CoreDNS customization and Ingress controllers, to facilitate cluster communication.
Monitor cluster health and application performance using tools like Prometheus, Elasticsearch, and Kibana.
Learn to configure and manage StatefulSets for applications that require stable identity and persistent storage.
Deploy and manage service mesh architecture using Istio, enhancing microservices communication, monitoring, and security within the Kubernetes environment.