Advanced Kubernetes: Project-Based Job-Ready Training
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.89 GB | Duration: 13h 54m
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)
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
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