Basic Linux and Docker with Kubernetes Course Overview

Basic Linux and Docker with Kubernetes Course Overview

The Basic Linux and Docker with Kubernetes course is a comprehensive training program designed to equip learners with essential skills in managing containerized applications. Starting with Linux fundamentals, the course provides a strong foundation for beginners by teaching them about the Linux file system, file permissions, and basic command-line tools. As one of the best courses on Docker, it then progresses into Docker administration, where students learn to build Docker images and understand container orchestration.

When it comes to Kubernetes, the course covers core concepts, architecture, and the creation and management of Kubernetes clusters, making it ideal for those looking to deploy and manage applications at scale. By delving into Kubernetes features, networking, security, and storage, learners gain practical experience with real-world examples. Monitoring and logging are also emphasized to ensure the maintainability of applications. This course is tailored to help learners become proficient in Linux, Docker, and Kubernetes, which are critical skills in the field of cloud computing and DevOps.

Purchase This Course

1,800

  • Live Online Training (Duration : 40 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • date-img
  • date-img

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

  • Live Online Training (Duration : 40 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings

images-1-1

1-on-1 Training

Schedule personalized sessions based upon your availability.

images-1-1

Customized Training

Tailor your learning experience. Dive deeper in topics of greater interest to you.

images-1-1

4-Hour Sessions

Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.

images-1-1

Free Demo Class

Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.

Course Prerequisites

To ensure that you can successfully undertake the Basic Linux and Docker with Kubernetes course, the following prerequisites are recommended:


  • Basic understanding of command-line interface (CLI) and shell scripting.
  • Familiarity with operating system concepts and systems administration.
  • Knowledge of basic networking concepts (e.g., IP addresses, HTTP, DNS).
  • Fundamental understanding of software development or system administration processes.
  • An introductory knowledge of virtualization and cloud computing concepts.
  • Prior exposure to any programming or scripting language (e.g., Python, Bash) is helpful but not mandatory.

Please note that these prerequisites are aimed at providing you with the foundational knowledge required to grasp the concepts taught in the course effectively. The course is designed to be accessible to learners who are new to the field, as well as those looking to enhance their existing skills.


Target Audience for Basic Linux and Docker with Kubernetes

  1. The Basic Linux and Docker with Kubernetes course offers comprehensive IT training in containerization and orchestration, tailored for tech professionals.


  • DevOps Engineers
  • Software Developers
  • System Administrators
  • Cloud Engineers
  • IT Professionals interested in containerization and orchestration technologies
  • Technical Project Managers overseeing deployment and infrastructure
  • Network Administrators looking to expand into container networking
  • Security Professionals seeking knowledge in container and Kubernetes security
  • Quality Assurance Engineers and Testers working within DevOps pipelines
  • Site Reliability Engineers (SREs) managing scalable, reliable systems
  • Technical Leads and Architects designing cloud-native applications
  • Data Scientists requiring knowledge of Kubernetes for scalable data processing
  • Technical Support Specialists supporting Kubernetes environments
  • Infrastructure Engineers transitioning to Infrastructure as Code (IaC) practices
  • Graduates and IT professionals aiming to upskill in modern IT infrastructure


Learning Objectives - What you will Learn in this Basic Linux and Docker with Kubernetes?

Introduction to Learning Outcomes:

Gain hands-on expertise in Linux basics, Docker administration, Kubernetes architecture, and deployment. Master container orchestration, cluster management, and application lifecycle with practical exercises and real-world examples.

Learning Objectives and Outcomes:

  • Understand the Linux file system structure, manage files and directories, and implement file system permissions.
  • Build and manage Docker images and get acquainted with Dockerfile syntax and functions.
  • Comprehend Kubernetes core concepts, including its architecture, design principles, and setup.
  • Deploy and manage a Kubernetes cluster using kubeadm and network solutions like Calico.
  • Implement Kubernetes features such as Pods, Labels, Services, Namespaces, and Resource Quotas for efficient cluster management.
  • Configure Kubernetes security through RBAC, Service Accounts, Secrets, and ConfigMaps to protect cluster resources.
  • Manage networking within Kubernetes, including Docker networking, pod-to-pod communications, and service exposure.
  • Execute application lifecycle management, perform rolling updates, rollbacks, and scale applications to ensure high availability.
  • Monitor cluster components and applications using tools like Prometheus, manage logs, and set up container-level monitoring for insights.
  • Learn about Kubernetes storage solutions, including Volumes, Persistent Volumes, and Claims, to maintain data persistence across container restarts.

These objectives aim to equip students with a comprehensive understanding of managing modern containerized applications and the Kubernetes ecosystem, ensuring they are ready to tackle real-world challenges in cloud-native environments.