Corso Docker and Kubernetes: The Complete Guide

Course delivered in English
Lessons: 25
Level: Advanced
Access: Paid Online Course (price may vary)

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!

Course content
19 sections • 332 lectures • 22h 16m total length

Includes:

• 21.5 hours on-demand video
• 75 articles
• 71 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

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.

• 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 Pipelines

Of 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 Javascript 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!

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

Here's what you'll do:

• Learn Docker from scratch, no previous experience required
• Build your own custom images tailored to your applications
• Master the Docker CLI to inspect and debug running containers
• Understand how Docker works behind the scenes, and what a container is
• Build a CI + CD pipeline from scratch with Github, Travis CI, and AWS
• Automatically deploy your code when it is pushed to Github!
• Build a complex multi-container application from scratch and deploy it to AWS
• Understand the purpose and theory of Kubernetes
• Deploy a production-ready Kubernetes Cluster to Google Cloud

This course is added onto our catalogue to help you to understand the basics of Machine Learning, Data Science and Software Development Tools. Learning this topic opens up opportunities to be able to understand the role of a AI MAchine Learning and Big Data Specialist. 

This course is managed by the external partner Udemy. In order to take this course you will need to register on their Academy platform where you can take advantage of this and many other courses on offer. This course however is not a free course but it is considered an excellent valuable asset to make you better yourself.

Once you have obtained your certification, save it on your device in Jpg or Pdf format and go back to the course page, in Guilds42, to upload it to the appropriate box and validate your skills.