This course is designed to help you get started with Docker. We will cover the basics of Docker, including its architecture, components, and how to use it to build and run containers.
16 labs
Your First Docker Lab
Run Your First Container
Working with Docker Images
Make a Docker Whale Speak
Diving Deeper Into Containers
Docker Run Command Parameters
Access and Manage Containers
Custom Docker Images
Customize Docker Whale's Language
Advanced Dockerfile Techniques
From Basics to Multi-Stage Builds
Docker Networking Basics
Dive Into Docker Networking
Docker Network Playground
Working with Docker Volumes
Docker Volume Mounting
This course contains lots of challenges for Docker, each challenge is a small Docker project with detailed instructions and solutions. You can practice your Docker skills by solving these challenges, improve your problem-solving skills, and learn how to write clean and efficient code.
0 lab
This course contains lots of labs for Docker, each lab is a small Docker project with detailed guidance and solutions. You can practice your Docker skills by completing these labs, improve your coding skills, and learn how to write clean and efficient code.
0 lab
In this project, we will combine C++ with Linux's Namespace and Control Group technologies to implement a simple Docker container that achieves functionalities such as independent file system, support for network access, and limitation of container resources.
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This project covers creating a TensorFlow model, exporting it for TensorFlow Serving, and deploying it with Docker. You'll learn to set up, serve, and test your model in a few concise steps, making it accessible for predictions.
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