Docker & Kubernetes Masterclass: Build, Deploy, & Scale on AWS, Azure, & GCP.

What you'll learn

Master Docker and Kubernetes for containerization and orchestration from basics to advanced.

Deploy apps on AWS, Azure, GCP using their managed Kubernetes services.

Build scalable, highly available containerized applications for real-world scenarios.

Optimize Docker, secure Kubernetes, and implement CI/CD for containerized workflows.

Requirements

To get the most out of this course, we recommend: Basic understanding of Linux command line: Familiarity with common commands (e.g., cd, ls, mkdir, sudo) will be helpful. Fundamental networking concepts: Knowledge of IP addresses, ports, and basic network communication is beneficial. Comfort with a text editor/IDE: You'll be writing configuration files, so familiarity with tools like VS Code, Sublime Text, or Notepad++ is useful. An active internet connection: For downloading software, accessing cloud provider consoles, and running labs. No prior Docker or Kubernetes experience is required! This course starts from the ground up, making it suitable for beginners looking to enter the world of containerization and orchestration. We'll guide you through every step. While experience with a programming language (like Python, Node.js, Go) is a plus, it's not strictly necessary. We'll focus on deployment and operations rather than application development.

Description

Welcome to the ultimate Docker and Kubernetes Masterclass, your comprehensive guide to mastering the art of containerization and orchestration across all major cloud providers! In today's dynamic tech landscape, Docker and Kubernetes have become indispensable tools for modern application deployment, enabling organizations to build, ship, and run applications with unprecedented efficiency and scalability.This course is meticulously designed to take you from a complete beginner to a confident practitioner, covering both the foundational theory and extensive hands-on practical application. You'll gain a deep understanding of how to leverage Docker to package your applications into lightweight, portable containers, and then master Kubernetes to orchestrate these containers at scale, ensuring high availability, fault tolerance, and seamless management.What sets this course apart is its unique focus on the three major cloud providers: AWS, Azure, and Google Cloud Platform (GCP). We'll not only explore the core concepts of Docker and Kubernetes but also dive deep into how to effectively utilize their respective managed Kubernetes services – Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE). This ensures you're equipped with real-world skills applicable to virtually any cloud environment.Here's a glimpse of what you'll learn and achieve in this masterclass:Docker Fundamentals: Begin with the absolute basics of Docker, understanding container images, Dockerfiles, volumes, networks, and how to build and run your first containerized applications.Advanced Docker Concepts: Explore multi-stage builds, Docker Compose for multi-container applications, and best practices for creating optimized and secure Docker images.Kubernetes Core Concepts: Dive into the heart of Kubernetes, learning about Pods, Deployments, Services, Namespaces, ConfigMaps, Secrets, and how these components work together to form a robust application ecosystem.Kubernetes Deployments & Management: Master the art of deploying, scaling, updating, and rolling back applications on a Kubernetes cluster. You'll learn about ReplicaSets, DaemonSets, StatefulSets, and Jobs.Networking and Storage in Kubernetes: Understand Kubernetes networking models, Ingress controllers for external access, and persistent storage options like Persistent Volumes and Persistent Volume Claims.Cloud-Specific Kubernetes Implementations:AWS EKS: Learn to provision and manage EKS clusters, integrate with AWS services, and deploy applications on EKS.Azure AKS: Discover how to set up and configure AKS clusters, utilize Azure-specific features, and deploy your containerized workloads.GCP GKE: Explore GKE's powerful capabilities, including auto-scaling, auto-repair, and seamless integration with Google Cloud services.Monitoring and Troubleshooting: Gain practical skills in monitoring your Kubernetes clusters and applications, identifying issues, and effectively troubleshooting common problems.Security Best Practices: Learn how to secure your Docker images, Kubernetes clusters, and containerized applications, including role-based access control (RBAC), network policies, and image scanning.By the end of this course, you'll not only have a solid theoretical foundation but also significant hands-on experience, enabling you to confidently design, deploy, and manage highly available and scalable containerized applications on any of the major cloud platforms. Whether you're an aspiring DevOps engineer, a software developer looking to modernize your deployment practices, or an IT professional eager to upskill, this course provides the comprehensive knowledge and practical skills you need to thrive in the cloud-native era. Enroll now and unlock the power of Docker and Kubernetes!

Overview

Section 1: Introduction

Lecture 1 Course overview

Lecture 2 Download Slides, notes and diagrams

Section 2: Container Introduction

Lecture 3 Foundation of containers

Lecture 4 Containers Vs Virtual Machine

Lecture 5 Why developers should use containers

Lecture 6 Install Docker on Linux

Lecture 7 Install Docker on Mac

Lecture 8 Run your first container

Lecture 9 Docker cli commands

Lecture 10 Summary

Section 3: Docker essentials for beginners

Lecture 11 Key Docker Concepts: Images, Containers, Dockerfiles

Lecture 12 Writing a Dockerfile and building a container image

Lecture 13 Managing containers: Running, Stopping, Removing

Lecture 14 Containerizing a simple Node.js/Python app

Lecture 15 Docker multi-stage build

Lecture 16 Summary

Section 4: Docker Networking

Lecture 17 Container networking models

Lecture 18 Bridge, host, and overlay networks

Lecture 19 Common Container Networking Commands

Lecture 20 Create a custom network and run container

Lecture 21 Summary

Section 5: Docker compose and Multi container

Lecture 22 Intro to Docker Compose

Lecture 23 Dockerizing a multi-container apps (Frontend + Backend + Database)

Lecture 24 Hands-on: Setting up a multi-service app using docker-compose.yml

Lecture 25 Summary

Section 6: Introduction to Kuberneters

Lecture 26 Why Kubernetes? How it solves container orchestration challenges

Lecture 27 What is a Pod

Lecture 28 Ways to install Kubernetes

Lecture 29 Kubernetes Architecture

Lecture 30 Setup a local Kubernetes cluster on Linux

Lecture 31 Setup a local Kubernetes cluster on Mac

Lecture 32 Other installation options for local kubernetes

Lecture 33 Deploy a sample pod

Lecture 34 What is a deployment

Lecture 35 Create a sample deployment

Lecture 36 What is a service

Lecture 37 Deploy a sample cluster IP service

Lecture 38 Deploy a sample nodeport service

Lecture 39 Deploy a sample loadbalancer service

Lecture 40 useful kubectl commands

Lecture 41 Deploying a simple app to Kubernetes

Lecture 42 Summary

Section 7: Kubernetes for developers

Lecture 43 env variables in Kubernetes

Lecture 44 env variables in Kubernetes - demo

Lecture 45 config maps in kubernetes

Lecture 46 config map - demo

Lecture 47 secrets in Kubernetes

Lecture 48 Secrets demo

Lecture 49 vertical vs horizontal scaling

Lecture 50 HPA vs VPA

Lecture 51 Types of scaling in Kubernetes

Lecture 52 Metrics server

Lecture 53 resource requests and limits

Lecture 54 resource requests and limits - demo

Lecture 55 Horizontal pod autoscaler demo

Lecture 56 Summary

Section 8: Kubernetes Storage

Lecture 57 Volumes in Kubernetes

Lecture 58 EmptyDir Volume

Lecture 59 Peristent Volumes and Persistent Volumes Claim

Lecture 60 Access modes

Lecture 61 Static V/s Dynamic Storage provisioning

Lecture 62 Reclaim policies

Lecture 63 Storage Class

Lecture 64 Demo provisioning a pod with persistent storage

Lecture 65 Summary

Section 9: Google Kubernetes Engine - Managed Kubernetes

Lecture 66 GKE Overview

Lecture 67 Create an GCP Trial Account

Lecture 68 GKE Modes - Standard vs auto-pilot

Lecture 69 GKE release channels

Lecture 70 Create GKE Cluster - standard mode

Lecture 71 GKE cluster walkthrough

Lecture 72 Create a gke cluster - autopilot mode

Lecture 73 GKE Node pools

Lecture 74 Node auto provisioning

Lecture 75 Deploy a sample hello world app to GKE

Lecture 76 Cluster autoscaling

Lecture 77 Node auto provisioning demo

Lecture 78 GKE Storage - dynamic provisioning

Lecture 79 Deploying a full stack App to GKE

Lecture 80 Summary

Section 10: Azure Kubernetes Service - Managed Kubernetes

Lecture 81 AKS Overview

Lecture 82 Create an Azure Trial Account

Lecture 83 AKS Standard vs AKS automatic

Lecture 84 AKS Upgrade channel

Lecture 85 AKS Node pools

Lecture 86 NAP vs Cluster autoscaler

Lecture 87 Create AKS Cluster using CLI

Lecture 88 AKS Cluster Presets

Lecture 89 AKS Pricing tier

Lecture 90 Create AKS cluster using portal - dev/test

Lecture 91 AKS Cluster walkthrough

Lecture 92 Create a production cluster using portal

Lecture 93 Deploy a todo app to AKS

Lecture 94 Cluster autoscaling in AKS

Lecture 95 Dynamic storage

Lecture 96 Deploying a full stack App to AKS

Lecture 97 Summary

Section 11: Amazon Elastic Kubernetes Service - EKS

Lecture 98 EKS Overview

Lecture 99 EKS Deployment modes

Lecture 100 EKS Auto mode

Lecture 101 Create an AWS Trial Account

Lecture 102 Create EKS Cluster using CLI

Lecture 103 Create EKS Node group

Lecture 104 EKS Cluster walkthrough

Lecture 105 Version support in EKS

Lecture 106 Create EKS Cluster using AWS console Without Auto mode

Lecture 107 Create EKS Cluster using AWS console Auto mode

Lecture 108 Deploy a todo app to EKS

Lecture 109 Cluster autoscaling in EKS

Lecture 110 Dynamic storage in EKS

Lecture 111 Deploying a full stack App to EKS

Lecture 112 Summary

This comprehensive Docker and Kubernetes course is ideal for: Aspiring DevOps Engineers: Gain the essential skills in containerization and orchestration highly sought after in modern DevOps roles. Software Developers: Learn to containerize your applications, optimize deployment workflows, and understand how your code runs in a cloud-native environment. System Administrators: Upgrade your skillset to manage and scale applications efficiently using cutting-edge container technologies. Cloud Engineers: Deepen your expertise in deploying and managing containerized workloads on AWS, Azure, and GCP, maximizing the benefits of cloud platforms. IT Professionals looking to upskill: If you're eager to stay relevant in the rapidly evolving tech landscape and build a foundation in cloud-native development, this course is for you. Anyone interested in modern application deployment: Whether you're a student, a curious learner, or transitioning into a new tech role, this course provides a practical, hands-on path to mastering Docker and Kubernetes.