Docker allows developers to build, deploy, and manage containers, and has become increasingly popular with companies relying on cloud-based development.
On this course, you’ll be guided through the fundamentals of Docker, learning how to use commands and operations to improve efficiency within your containerised projects.
With millions of software developers using containerised applications around the world, a working knowledge of Docker is critical if you want to kickstart your career in the development sector.
Through hands-on labs, you’ll learn the real-world applications of this knowledge and gain practical skills that can be used to demonstrate your technical savvy to prospective employers.
Containerisation continues to grow in popularity due to its ability to provide the functionality of virtual machines, such as scalability and application isolation, with the added benefits of improving productivity and efficiency.
You’ll investigate core Docker functions including run, images, registry, and networking, allowing you to identify optimisation opportunities within your own organisation and more widely.
With quizzes at the end of each section, you’ll ensure your understanding of each function before moving on to more complex ideas.
Using your knowledge of individual functions within Docker, you’ll then learn how to automate processes within deployment, scaling, networking, and more.
By the end of this course you’ll be able to identify the advantages of containerised applications and be able to demonstrate how to work within Docker to optimise a container’s lifecycle.
This course is designed for software developers and system admins who want to improve their software development life cycles by furthering their understanding of containerised applications.
You’ll need to install Docker Community Edition on a Windows, MacOS or Linux system. If you’re using a MacOS or Windows system, you may also need to instal a Linux virtual machine, or Docker Desktop for Windows or Mac.
We’ll show you on the course how to install and run the Docker tools.