Full Docker Course [FREE] 🎉 🐳

By the end of this course, you will have a deep understanding of the concepts and a great overall big picture of how Docker is used in the whole software development process.

The course is a mix of animated theoretic explanations and hands-on demo’s to follow along, so you get your first hands-on experience with Docker and feel more confident using it in your projects.

The course is available here: 🤓

▬▬▬▬▬▬ COURSE OVERVIEW 📚 ▬▬▬▬▬▬

1. What is Docker?

• What is a container and what problems does it solve?
• Container repository - where do containers live?
• Application development - before/after container
• Application deployment - before/after container

2. What is a Container technically

• What is a container technically? (layers of images)
• Demo part (docker hub and run a docker container locally)

3. Docker vs Virtual Machine

4. Docker Installation

• Before Installing Docker - prerequisites
• Install docker on Mac
• Install docker on Windows
• Install docker on Linux
• Docker Toolbox for older Mac
• Docker Toolbox for older Windows

5. Main Docker Commands

• docker pull
• docker run
• docker ps
• docker run --options
• docker stop
• docker start
• docker ports, docker port mapping

6. Debugging a Container

• docker logs
• docker exec -it

7. Demo Project Overview - Docker in Practice (Nodejs App with MongoDB and MongoExpress UI)

8. Developing with Containers

• Pre-Requisites
• what we will do in this video
• 1st part: The JavaScript App (HTML, JavaScript Frontend, Node.js Backend)
• 2nd part: MongoDB and Mongo Express Set-Up with Docker
• Docker Network concept and demo
• 3rd part: Connect Node Server with MongoDB container

9. Docker Compose - Running multiple services

• What is Docker Compose?
• docker run commands VS docker compose
• How to use it? - Create the Docker Compose File (Demo)
• Docker Networking in Docker Compose

10. Dockerfile - Building our own Docker Image

• What is a Dockerfile?
• How the Dockerfile commands map to the image environment
• Create the Dockerfile (Demo)
• Build an image out of the Dockerfile
• Start the Application to verify: 1) App starts successfully 2) App environment is configured correctly
• do improvement - copy only relevant files

11. Private Docker Repository - Pushing our built Docker Image into a private Registry on AWS

• Create a Private Repository on AWS ECR
• Login to AWS (docker login)
• Image Naming concept in Docker registries
• docker tag to include the repository name in the image name
• Push the Docker Image to the Private Repository
• Make some changes to the Application, rebuild and push a new version to your AWS repository

12. Deploy our containerized application

13. Docker Volumes - Persist data in Docker

• When do we need Docker Volumes?
• What is Docker Volumes?
• 3 Docker Volumes Types
• Docker Volumes in docker-compose file

14. Volumes Demo - Configure persistence for our demo project

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It's a handy way to quickly look something up or refresh your knowledge at work and use it as your cheatsheet 😎

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Comments

[COKER BUSAYO OLADIPUPO]

Awesome Nana, I really enjoyed working through the tutorial. A favour please : how about a project based tutorial in series that starts from creating infrastructures in terraform/packer, writing play books in Ansible etc.. that goes through all the phases of a DevOps project

[TechWorld with Nana]

Glad to hear :) And that's a great idea thanks for your suggestion! I planned to create this in an upcoming udemy course

[COKER BUSAYO OLADIPUPO]

Awesome one, I would be on the lookout, if you want any help with content structure etc... I'm a DM away.

[Timothy Huang]

Really good course to learning docker. Thank you!

[Batuhan Apaydın]

you are amazing 👏🏻👏🏻👏🏻

[ItsThatHexagonGuy]

Hey Nana! Been a subscriber for some time now, your videos are awesome! I really like the fact that you don't expect your viewers to know/understand things before watching a video!

[Rajitha Gunathilake]

really awesome course , fun to watch .
thanks 🙌

[TechWorld with Nana]

Thanks, glad to hear! :)

[Robert Kameni]

I love it🔥🔥👌🏼

Thanks much

[Dmitry Petrov]

That's exactly what I needed! Thank you so much!

[Corentin Clichy]

Thanks a lot for the ressource

[Mai Thanh Tam]

This is exactly what I need right now. Thank you!

[Mateus Oliveira]

Your content has helped me a lot when I first started learning about Docker, great work! I always find myself revisiting stuff when in need. Thank you so much ❤