Docker Compose in Depth

Online Course

Udemy
Docker Compose in Depth

What is the course about?

Docker Compose in Depth
The course Docker Compose in Depth is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn Docker containerization in depth using Docker’s Compose Tool

Course description
  • Docker Compose in Depth
  • Define multi-container application environments using Docker Compose
  • Create flexible environments that intelligently build Dockerfiles and/or pull a Docker images from a remote repository
  • Customize environments via environment variables
  • Partition environments into logical pieces, running them in isolation or in aggregate
  • Utilize volumes to persist data and share it between containers
  • Students should have a cursory understanding of Docker, including how to create images and run containers
  • Students should have access to a development machine with Docker installed
  • This course is not appropriate for students with no prior experience with Docker
  • 2 hours on-demand video
  • 1 article
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Stone River eLearning

Prerequisites & Facts

Docker Compose in Depth

Course Topic

Development, Docker, Programming Languages

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Docker Compose in Depth

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Docker Compose in Depth
provided by Udemy

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School: Udemy
Topic: Development, Docker, Programming Languages