CBTNuggets - Docker Training

Containerization in general, and Dockerization in particular, is one of the most practical skills a DevOps professional can have. Docker containers are used in all stages of application development, including production. With this training, you'll learn to develop containers and applications in Docker that aren't just useful and effective, but that will run right on the machine it gets deployed to, regardless of settings, every time.
For anyone who manages Docker training, this Docker training can be used to onboard new DevOps professionals, curated into individual or team training plans, or as a Docker reference resource.
Free Download Docker: What You Need to Know
This Docker training has videos that cover topics including
Containers vs. Virtual Machines
How Docker works
Docker Installer deconstructed
How to manage containers and images
Networking with Docker
Making containers work together
Who Should Take Docker Training?
This Docker training is considered professional-level Docker training, which means it was designed for DevOps professionals. This orchestration and automation infrastructure skills course is designed for DevOps professionals with three to five years of experience with DevOps.
New or aspiring DevOps professionals. Docker containers are found everywhere in the world of DevOps. After basic Linux administration, Docker is one of the first skills aspiring DevOps pros should begin to master. Completing this training will help you build the skills you need to configure, deploy, and manage Docker containers.
Experienced DevOps professionals. Containerization in general, and Dockerization in particular, is one of the most practical skills a DevOps professional can have today. Docker containers are used in all stages of application development including production. As a result, DevOps pros that master Docker technology are in high-demand. Completing this training will help validate your skills and knowledge of this popular DevOps tool.
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https://www.cbtnuggets.com/it-training/devops/docker