Cloud training
Docker fundamentals
Have your team learn how to build, integrate, and run containers that will speed up your DevOps pipeline
Get started with Docker
Is your team new to containers? The Docker fundamentals course will guide them through a variety of hands-on exercises designed to help them quickly grow into seasoned users, ready to assess the advantages of containerized software development and deployment. It will teach them how to run, develop, and manage their own set of containers.
Your team will get the right skills to leverage containerization technology, reduce environment drift, and enable self-contained deliveries to production. To put your team's new Docker skills to good use, we recommend combining this course with the one-day Kubernetes fundamentals course.
Course details
Duration
One day
Type
A mix of theory and hands-on exercises
Audience
Developers and sysadmins
After completing this training module, your team will be able to:
Use Docker in their daily roles as developers and sysadmins
Use Docker engine features necessary for running containerized applications
Create Dockerfiles and Docker Compose files
Keep their Dockerfiles and images small, efficient, and fast
Distribute their docker images through a docker registry, such as Docker Hub
Protect important persistent data in volumes and bind mounts
Package their own software
Prerequisites
To make the most out of this course, participants should have basic Linux command line skills. We also recommend they have Git bash installed on their machines.
Note: Docker Fundamentals focuses on Docker for Linux. However, most of the content is also directly translatable to Windows containers.
Empower your entire team with new skills
Get in touch to plan this training just for your team.
Great introduction to docker and docker-compose. Starts with the very basics but builds up to some more advanced cases. Focuses on showing how simple this actually is, and how it can make complicated tasks much simpler - like, why bother installing a compiler on your machine when there's a docker image for that.