Run reliable containerized applications through this practical course built around 10 real-world demos covering Docker networking and storage, from container communication and network isolation to persistent data, backup, and migration. Built around the Docker Certified Associate (DCA) exam objectives, this course develops the skills needed for real-world Docker operations and certification readiness.
Designed for developers, DevOps learners, cloud professionals, IT students, career switchers, and those preparing for the DCA exam, this course helps you understand how containers communicate and operate in realistic DevOps environments.
In this course, you'll explore Docker networking concepts, network namespaces, the Docker bridge network, DNS and service discovery, Docker network drivers, overlay networking, Docker storage, Docker volumes, bind mounts, the Overlay2 storage driver, and volume lifecycle management.
By the end, you'll be able to configure Docker networking, connect containers, troubleshoot connectivity issues, persist application data, and protect container workloads with backup and migration workflows.
Enroll now to build reliable networking & storage skills.
Learn the fundamentals of Docker networking, including network namespaces, bridge networks, custom bridge networks, and service discovery. Understand how containers communicate securely within Docker environments.
Explore advanced Docker networking options, including host, none, macvlan, and overlay networks. Learn how to choose the right network driver and troubleshoot container connectivity issues.
Understand how Docker manages persistent data using container filesystems, volumes, and bind mounts. Learn how to preserve application data and manage the lifecycle of Docker volumes.
Explore Docker storage drivers and compare volumes with bind mounts for different use cases. Learn how to back up, restore, and migrate application data to ensure reliable and efficient data management.
Some points apply to every course of this kind; see how we rank.
LearnKartS is in Tier 5: mass-produced or unclear of our institution ranking (40/100).
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
