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Master all the skills that are essential for becoming a Kubernetes. Learn under the guidance expert.

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Kubernetes Online Classes is a program designed to teach individuals how to manage and automate containerized applications. Kubernetes, often called "K8s," is an open-source platform that simplifies deploying, scaling, and managing applications. This training focuses on core concepts like clusters, pods, services, and networking. It is perfect for developers, system administrators, and DevOps engineers looking to enhance their skills. With hands-on projects and real-world examples, the training helps learners gain practical experience. Kubernetes is widely used across industries, making this training highly valuable for anyone aiming to build a career in cloud computing and container management.

The course objectives of Kubernetes Online Training are to provide learners with a solid understanding of Kubernetes architecture, components, and concepts. Students will gain hands-on experience in deploying, managing, and scaling containerized applications using Kubernetes. The Kubernetes Online Course focuses on the following objectives:

Understand Kubernetes architecture and components.

Learn to deploy, scale, and manage containerized applications.

Gain hands-on experience with Kubernetes clusters and workloads.

Explore networking, storage, and security configurations.

Learn how to use Kubernetes for CI/CD pipelines and DevOps practices.

Master advanced topics like Helm charts, StatefulSets, and monitoring.

By the end of the course, students will be equipped to handle Kubernetes in real-world environments and prepare for certification exams.

Freshers with Kubernetes training can expect competitive salaries as the platform is in high demand. Entry-level professionals typically earn between 4-6 LPA in India or around $50,000-$70,000 annually in the global market.

System Administrators: 4-5 LPA

Junior DevOps Engineers: 5-7 LPA

Cloud Engineers: 6-8 LPA

The demand for Kubernetes-certified professionals ensures job security and excellent starting packages, especially for those with hands-on training and certifications.

Kubernetes training can significantly enhance career growth in the tech industry. As companies increasingly adopt containerization and microservices, Kubernetes has become a crucial skill for professionals involved in DevOps, cloud engineering, and system administration. Kubernetes training can significantly boost career opportunities in the cloud computing and DevOps field.

Entry-Level Roles: System Administrator, Junior Cloud Engineer.

Mid-Level Roles: DevOps Engineer, Cloud Architect.

Advanced Roles: Site Reliability Engineer, Kubernetes Administrator.

Career progression includes higher salaries, leadership positions, and opportunities to work with cutting-edge cloud technologies. Kubernetes expertise opens doors to multinational companies, startups, and remote global opportunities.

Kubernetes training in India has gained significant popularity for several reasons. First, India has a large and growing tech ecosystem, with numerous startups, IT companies, and enterprises adopting cloud-native technologies to stay competitive. Kubernetes training is popular because it equips professionals with skills to manage containerized applications effectively.

High Demand: Kubernetes is used by companies like Google, Amazon, and Microsoft.

Versatility: Works across multiple cloud platforms like AWS, Azure, and GCP.

Open Source: Regular updates and a supportive community.

Career Edge: Companies prioritize Kubernetes-certified professionals.

The trainings flexibility and relevance to modern tech trends make it a top choice for learners.

Kubernetes training opens the door to various job roles, each with distinct responsibilities. Kubernetes Administrators are tasked with managing and maintaining Kubernetes clusters, ensuring their health and security, and troubleshooting issues related to nodes, pods, and services. With Kubernetes Online Training In India, you can take on roles like Kubernetes Administrator, DevOps Engineer, or Cloud Engineer. Common responsibilities include:

Managing Kubernetes clusters and resources.

Deploying and scaling applications using Kubernetes.

Automating workflows using CI/CD pipelines.

Monitoring application performance and ensuring uptime.

Implementing security policies within Kubernetes environments.

These roles are essential for ensuring efficient application management and deployment.

Kubernetes Online Certification professionals are in demand across various industries:

IT and Software Development: For building scalable applications.

Cloud Computing Providers: AWS, Azure, GCP.

E-commerce: Managing dynamic workloads.

Banking and Finance: Secure and scalable application deployment.

Healthcare: Hosting secure and reliable apps.

With Kubernetes skills, you can work in diverse sectors that rely on modern infrastructure.

After completing the Online Kubernetes Course, youll receive a certificate of completion. Some courses also prepare you for official certifications like CKA (Certified Kubernetes Administrator) or CKAD (Certified Kubernetes Application Developer).
Certificates validate your skills to potential employers.
Enhance your resume and increase your job opportunities.
Many training programs align their curriculum with official certification requirements, giving you a strong foundation.

The fee for Kubernetes Full Course varies depending on the provider.

Basic Courses: 18,000.

Kubernetes official certifications validate your expertise. Popular options include:

Certified Kubernetes Administrator (CKA): 32,390

Certified Kubernetes Application Developer (CKAD): 32,390

Certified Kubernetes Security Specialist (CKS): 32,390

Kubectl: Command-line tool for managing Kubernetes resources.
Calico: Network policy and security implementation tool.
Helm: Tool for Kubernetes application packaging and deployment.
Prometheus: Monitoring tool for collecting metrics from Kubernetes clusters.
EFK Stack (Elasticsearch, Fluentd, Kibana): For logging and log visualization.
Ingress Controller: Manages external access to services within the cluster.
Network Load Balancer: Distributes network traffic for Kubernetes services.
Storage Classes: For dynamic storage provisioning.
MariaDB Cluster: High-availability database used in Kubernetes clusters.
Kubernetes Security Primitives: Tools like Roles, Role Bindings, and Security Contexts.

Deploy basic pods using Kubectl commands and configure INIT containers.
Configure Kubernetes networking using Calico for cluster communication.
Set up and authenticate Kubernetes resources using certificates.
Deploy Network Load Balancers and configure self-healing Kubernetes applications.
Implement Horizontal Pod Autoscaler (HPA) for dynamic workload management.
Manage network traffic with Ingress Controller and rules.
Set up and use Persistent Volume and Persistent Volume Claims for data storage.
Deploy secrets and config maps into applications for secure configuration.
Use stateful applications to deploy a replicated, highly available MariaDB cluster.
Define custom network policies and use probes for pod monitoring and restarts.
Monitor Kubernetes clusters with Prometheus and visualize logs with the EFK stack.
Troubleshoot Kubernetes cluster and application failures using diagnostic tools.
Create a roadmap for Kubernetes interviews, including resume building and certification guidance.

Course Program: Our expert counselors assist students in selecting the perfect course based on their individual needs and career goals.
Expert Mentors: Experienced professionals with years of industry knowledge guide students throughout the program, ensuring hands-on learning and support.
Project Preparation: Students engage in live projects to gain practical experience and apply their learning in real-world scenarios.
Assignment Process: The training includes multiple assignments that reinforce key concepts, promoting deeper understanding and skill development.
Grooming Session: Dedicated grooming sessions help students polish their resumes and prepare for job interviews, boosting their confidence.
Interview Calls: Placement assistance ensures students are connected with suitable job opportunities post-training.
Student Placement: Our track record includes successfully placing students in top companies, with over 30,000 placements to date.

You May Also Read:

Docker Course

Aws Devops Online Course

DevOps Course

Terraform Online Course

Ansible Online Course

Why should you learn Kubernetes?

Kubernetes allows better management through modularity.

Kubernetes lays down the foundation of cloud-native apps.

Kubernetes is a budget-friendly course & easily accessible.

Kubernetes is gaining momentum among the developer community.

Kubernetes is an infrastructure framework built out for today.

Kubernetes allows better management through modularity.

Kubernetes lays down the foundation of cloud-native apps.

Kubernetes is a budget-friendly course & easily accessible.

Kubernetes is gaining momentum among the developer community.

Kubernetes is an infrastructure framework built out for today.

Kubernetes allows better management through modularity.

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CURRICULUM & PROJECTS

Kubernetes Training Program

Kubernetes Fundamentals

Kubernetes Core Concepts

Kubectl common commands

Understanding Pods

Configure network on cluster nodes

Pod Networking Concepts

Setting up a cluster - Kubernetes Certificates

Practical Assignment

Perform basic Kubectl commands

Deploy pods and use INIT containers to pre-set an environment

Configure Kubernetes network using Calico

Use certificates to authenticate resources

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Services and Controllers

Service Networking

Deploy different kinds of services

Deploy and configure network Load Balancer

Primitives necessary for self-healing apps

Effects of resource limiting on pod scheduling

Configure Kubernetes Scheduler

Running multiple Schedulers

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Replica Set and Replication Controller

Deploy different Replication Controllers

About Daemon Sets

Use Daemon Sets on nodes

Deployments

Manage pod updates using Deployments

Rolling updates and Rollbacks

Scaling applications and Ingress

Use HPA for dynamic work-load management

Use Ingress controller and rules to manage network traffic

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Persistence Storage Overview

Persistent Volume and Persistent Volume Claim

Access modes for volumes

Primitives for Persistent Volume Claim

Secrets and Config Maps in your pods

Storage classes

Headless services

Stateful Sets

Lab Work

Deploy Persistent Volume and Persistent Volume Claim

Use Secrets and Config Maps in your applications

Use Storage Class for dynamic storage allocation

Use stateful applications for sticky identities for pods

Deploy a highly available replicated MariaDB cluster

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Basic Concepts

Authentication

Authorization

Kubernetes security primitives

Configure Network Policies

Security Contexts

Lab Work

Create and use Roles and Role Bindings

Define custom Egress and Ingress policies

Use probes and configure a restart policy for pods

Define privilege and access control using security contexts

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Monitor cluster using Prometheus

Visualize logs using EFK stack

Deploy jobs to run tasks to completion

Manage etcd cluster

Use Helm Charts

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Troubleshooting application failures

Troubleshooting cluster failures

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Tips to clear an Interview

Common Interview questions and answers

Kubernetes Interview Questions and Answers

Resume Building Guide

Career roadmap and certifications

Attempt for related Global Certification Exam

Start applying for Jobs

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