• views: 303
• date: 26 April 2026
• posted by: AD-TEAM

Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows

What you'll learn
Learn Docker from scratch, no previous experience required
Master the Docker CLI to inspect and debug running containers
Build a CI + CD pipeline from scratch with Github, Travis CI, and AWS
Understand the purpose and theory of Kubernetes by building a complex app
Automatically deploy your code when it is pushed to Github!
Develop practical skills through hands-on projects and exercises

Requirements
Basic understanding of terminal and command line usage
No previous Docker or Kubernetes experience is required!
A credit card is required to deploy projects to AWS or Google Cloud

Description
If you're tired of spinning your wheels learning how to deploy web applications, this is the course for you.This course requires you to download Docker Desktop from Docker. If you are a Udemy Business user, please check with your employer before downloading software.CI+CD Workflows? You will learn it. AWS Deployment? Included. Kubernetes in Production? Of course!This is the ultimate course to learn how to deploy any web application you can possibly dream up. Docker and Kubernetes are the newest tech in the Dev Ops world, and have dramatically changed the flow of creating and deploying web apps. Docker is a technology that allows applications to run in constructs called 'containers', while Kubernetes allows for many different 'containers' to run in coordination.Docker from Scratch!In this course you'll learn Docker from absolute fundamentals, beginning by learning the answer to basic questions such as "What is a container?" and "How does a container work?". From the very first few lectures, we will do a deep dive on the inner workings of containers, so you get a core understanding of exactly how they are implemented. Once you understand what a container is, you'll learn how to work with them using basic Docker CLI commands. After that, you'll apply your new-found mastery of the Docker CLI to build your own custom images, effectively 'Dockerizing' your own personal applications. CI + CD PipelinesOf course, no course on Docker would be complete without a full understanding of common Continuous Integration and Continuous Deployment patterns. You will learn how to implement a full CI + CD workflow using Github, Travis CI, and Amazon Web Services, creating a pipeline that automatically deploys your code every time you push your latest changes to Github!Multi-Container Deployments on AWS!After building a deployment pipeline, you'll apply it to master both single-container and multi-container deployments on Amazon Web Services. You will construct a multi-container application utilizing Node, React, Redis, and Postgres, and see the amazing power of containers in action (Note: all jаvascript coding in this course is optional, the full source code is provided if you don't want to write JS).Kubernetes!Finally, you will tackle Kubernetes, a production-grade system for managing complex applications with many different running containers. You will learn the right way to build a Kubernetes Cluster - this course doesn't have any of those annoying "don't do this in production" comments! You will first build a Kubernetes Cluster on your local machine, then eventually move it over to a cloud provider. You'll even learn how to set up HTTPS on Kubernetes, which is harder than it sounds!Here's what you'll do:Learn Docker from scratch, no previous experience requiredBuild your own custom images tailored to your applicationsMaster the Docker CLI to inspect and debug running containersUnderstand how Docker works behind the scenes, and what a container isBuild a CI + CD pipeline from scratch with Github, Travis CI, and AWSAutomatically deploy your code when it is pushed to Github!Build a complex multi-container application from scratch and deploy it to AWSUnderstand the purpose and theory of KubernetesDeploy a production-ready Kubernetes Cluster to Google Cloud

Who this course is for:
Software engineers looking to deploy their apps easily and quickly

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