LEARNING PATH: Docker: Dockerization with Docker

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    IT & Software Systems

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Delve into the most popular Docker features to explore the quick and robust way to build and deploy scalable applications

Docker is an open source containerization engine that offers a simple and faster way for developing and running software. It is one of the world’s best software container platforms. The use of containers in Docker makes it easy to develop, deploy and execute applications. If you're interested to gain practical knowledge on how to orchestrate and deploy scalable applications with Docker, then you should surely go for this Learning Path.

Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

The highlights of this Learning Path are:

  • Develop containerized applications using Docker 
  • Explore advanced build options and image tags
  • Deploy and test your Docker containers and put them to work in production

Let’s take a quick look at your learning journey. This Learning Path begins with setting up the Docker environment. You will be introduced to the basic Docker commands and how to work with images and containers. You'll then quickly learn how to write a Dockerfile, build an image from it, and then launch a container from that image. You'll also get hands-on experience with common Docker tasks such as pushing images to remote repositories, and using port mappings and the image caching layer during builds. You'll also explore how to run Docker services and learn how it can be used to run a group of related Docker containers. This Learning Path also covers advanced topics such as sharing data between containers, Docker services to run a group of related Docker containers etc.

You'll also gain knowledge on how you can contribute to the image repository by publishing different images. This will accustom you with the image building process and you'll be able to successfully run your programs within containers. 

By the end of this Learning Path, you'll be confident in building and deploying your applications using Docker and have a clear understanding of techniques to get it running in production systems.

Meet Your Expert:

We have combined the best works of the following esteemed author to ensure that your learning journey is smooth:

  • Viktor Farcic is a senior DevOps consultant at CloudBees (, a member of the Docker Captains ( group, and an author. He codes using a plethora of languages starting with Pascal (yes, he is old), Basic (before it got the Visual prefix), ASP (before it got the .NET suffix), C, C++, Perl, Python, ASP.NET, Visual Basic, C#, JavaScript, Java, Scala, and so on. He never worked with Fortran. His current favorite is Go. Viktor's big passions are Microservices, Continuous Deployment, and Test-Driven Development (TDD). He often speaks at community gatherings and conferences. Viktor wrote Test-Driven Java Development by Packt Publishing, and The DevOps 2.0 Toolkit. His random thoughts and tutorials can be found in his blog (
  • Randall Smith is a senior systems administrator at Adams State University. He has been administering Windows, Linux, and BSD systems since 1999.He has been active in helping other sysadmins solve problems online and off. He has presented at the Colorado Higher Ed Computing Organization and Educause conferences on topics including Linux KVM and Ceph. In his spare time, Randall streams Let's Play gaming videos at Music Free Gaming on YouTube and Twitch.

Basic knowledge
  • Basic working knowledge using the Linux command is needed

What will you learn
  • Write a Dockerfile, build an image from it, and then launch a container from that image
  • Get familiar with common Docker tasks such as pushing images to remote repositories
  • Use Docker Services to run a group of related Docker containers 
  • Share data between containers
  • Install Docker on Linux, AWS, Google Compute Engine, and Microsoft Azure
  • Troubleshoot Containers and Images
  • Build Images with Docker
  • Manage and share Docker images
Course Curriculum
Number of Lectures: 30 Total Duration: 03:10:49

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