Advanced Kubernetes: Project-Based Job-Ready Training

Advanced K8S course to turn experienced IT professionals into K8s experts through immersive, project-based learning.

What you'll learn

Become a Kubernetes Expert: Deploy, manage, and troubleshoot Kubernetes clusters and containerized applications at an expert level.

Apply Kubernetes in the Real World: How Kubernetes is utilized in companies—from development to production —and align your skills with industry use cases.

Build Real-World Experience: You'll develop a portfolio of Kubernetes configurations and deployments that demonstrate your ability to solve real-world challenge

Be Ready for Kubernetes Job Roles: Step into Kubernetes-focused roles (DevOps Engineer, Cloud Engineer, SRE, etc.) with confidence.

Requirements

Understanding of Docker fundamentals (container creation, image management, volumes, networking).

Experience running and managing basic containerized applications.

Familiarity with Kubernetes core concepts such as Pods, Deployments and Services

Ability to use kubectl for basic operations (e.g., listing resources, applying YAML manifests).

Basic Linux Command-Line Skills

A cloud account (AWS, GCP, Azure). No need of any cloud knowledge

Description

This advanced Kubernetes course is designed to turn experienced IT professionals into Kubernetes experts through immersive, project-based learning. If you already have a basic understanding of containers and are ready to orchestrate applications at scale, this training will elevate your skills to the next level. Through real-world scenarios and live lab exercises created from scratch, you'll gain deep insight into how Kubernetes is used in modern companies. The curriculum emphasizes practical knowledge and industry best practices, so you will not only master Kubernetes concepts but also understand how to apply them on the job from day one.Course Highlights (Why this course is special):Project-Based Learning: Tackle real-world scenarios that mimic the challenges faced in production environments. Each module is structured around hands-on projects, reinforcing your knowledge through direct application.Live Labs from Scratch: Follow along with live lab setups built from the ground up. With access to a cloud account, you can replicate every environment and experiment in real time, ensuring you gain practical configuration and deployment skills.Capstone Project with Best Practices: The course culminates in a comprehensive final project that ties together all your learning. This capstone follows best containerization and Kubernetes practices, so you learn to design and implement solutions the way top companies do.Job-Ready Focus: Instead of focusing on certification exams, this course prioritizes real-world readiness. You'll practice the tasks and workflows that DevOps teams perform daily, preparing you to contribute on the job from day one. The course also provides expert guidance on Kubernetes interview questions, so you can confidently showcase your skills to potential employers.Deep Dive & Industry Insights: Go beyond the basics with in-depth coverage of Kubernetes internals, advanced features, and ecosystem tools. Learn current industry best practices for security, scaling, monitoring, and more—gaining the insight needed to handle production Kubernetes environments with confidence and skill.Learning OutcomesAfter completing this course, you will:Become a Kubernetes Expert: Deploy, manage, and troubleshoot Kubernetes clusters and containerized applications at an expert level.Apply Kubernetes in the Real World: Understand how Kubernetes is utilized in companies—from development pipelines to production operations—and align your skills with industry use cases.Build Real-World Experience: Gain practical experience through hands-on labs and projects. You'll develop a portfolio of Kubernetes configurations and deployments that demonstrate your ability to solve real-world challenges.Be Ready for Kubernetes Job Roles: Step into Kubernetes-focused roles (DevOps Engineer, Cloud Engineer, SRE, etc.) with confidence. You'll be equipped not just with theoretical knowledge but with practical know-how that employers value, along with guidance on navigating Kubernetes interview questions and tasks.Who Should EnrollThis course is ideal for professionals with basic container knowledge who want to advance their Kubernetes skills:DevOps engineers and site reliability engineers (SREs)Software developers interested in container orchestrationSystem administrators and IT operations professionalsTechnical support specialists working with cloud or containerized environmentsQA engineers looking to expand into infrastructure and deploymentCloud engineers and architects aiming to master Kubernetes

Overview

Section 1: Introduction

Lecture 1 Introduction to the Course

Section 2: Kubernetes Concepts Deep dive - Namespace, POD, Service, Architecture

Lecture 2 01. Kubernetes and Namespaces

Lecture 3 02. PODs Architecture

Lecture 4 03. PODs Communication and Sevices

Lecture 5 04. Kubernetes Architecture

Section 3: Kubernetes Communications, Autoscaling

Lecture 6 05. Kubernetes Architecture Part 2

Lecture 7 06. Kubernetes Service Communication

Lecture 8 07. Kubernetes Services Part 2

Lecture 9 08. Running And Scaling Applications HPA

Section 4: Kubernetes API and Configurations

Lecture 10 09. Understanding YAML Syntax

Lecture 11 10. Writing a POD Manifest from API Reference

Lecture 12 11. Troubleshooting

Lecture 13 12. Managing Configurations

Section 5: Managing Configurations, Kustomize

Lecture 14 13. Managing Configurations - Part 2

Lecture 15 14. Getting Started with Kustomize

Lecture 16 15. Kustomize to manage environments

Section 6: Kustomize Deep Dive

Lecture 17 16. Kustomize Deep Dive Part 1

Lecture 18 17. Kustomize Deep Dive Part 2

Section 7: Google Kubernetes Engine

Lecture 19 18. Google Kubernetes Enginer - GKE

Lecture 20 19. Creating a GKE Cluster

Lecture 21 20. Deploying your applications to GKE

Section 8: Persistant Volumes in Kubernetes

Lecture 22 21. Persistant Volumes in Kubernetes

Lecture 23 22. Creating and Testing Persistant Volumes in GKE

Section 9: Managing Incoming Public Traffic in Kubernetes with Ingress

Lecture 24 23. Introduction and Setup of Ingress Controller

Lecture 25 24. Setting up an Ingress for Your Custom Domain name

Lecture 26 25. Ingress Commonly Asked Questions

Section 10: Secure Automated SSL Connections with Cert Manager

Lecture 27 26. How SSL Works

Lecture 28 27. What is Cert-Manager and How it Works

Lecture 29 28. Setting Up Cert Manager on Kubernet

Lecture 30 29. Automate SSL for your Custom Domain

Lecture 31 30. Cert Manager - Commonly Asked Questions

Section 11: Final Project

Lecture 32 31. The Final Project - Do it YourSelf

Lecture 33 32. Project Tasks to Be Completed

DevOps engineers and Site Reliability Engineers (SREs),Software developers interested in Kubernetes orchestration,System administrators and IT operations professionals,Technical support and QA engineers looking to expand into Kubernetes,Cloud engineers and architects aiming to master Kubernetes