Docker Course for Beginners
This course is a fast-paced, hands-on introduction to Docker, designed for complete beginners. In just 2 hours, you'll go from installing Docker to building images and running real-world containers using Docker CLI and Docker Compose.
Whether you're a developer, DevOps engineer or simply curious about containers, this crash course will give you a solid foundation in Docker's core concepts.
All content is highly practical, straight to the point and focused on helping you build a mental model that translates directly to real projects.
You'll follow real examples, build hands-on components and learn by doing. No fluff, no filler, just essential concepts with clear demonstrations and terminal sessions.
No prior Docker experience is required, just basic terminal and programming knowledge.
By the end of this course, you'll be able to confidently build Docker images, run containers and understand how Docker actually works under the hood.
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| Docker Crash Course for Beginners |
What you'll learn
- Install Docker and configure it correctly on Windows, macOS or Linux.
- Learn to create your own Dockerfiles.
- Build and run Docker containers using Dockerfiles and the docker CLI.
- Use Docker Compose to manage multi-container applications.
- Push your images to Docker Registry (Docker Hub & GitHub Container Registry).
- Use Docker volumes to persist and share data between containers.
- Configure container networks to enable communication between services.
Who this course is for
- Developers who want to learn Docker from scratch and start using it in real-world projects.
- Backend engineers looking to containerize their applications using best practices.
- Students and self-taught programmers who want a fast, practical introduction to containers.
- Anyone curious about Docker, containers and how modern software is shipped and deployed.
- Engineers working with Go, Node.js, Python or other languages who want to learn Docker fundamentals.
Requirements
- No prior Docker or container experience is required.
- Basic familiarity with using a terminal or command line is helpful, but not mandatory.
- A computer running Windows, macOS, or Linux with internet access.
- Optional: a code editor like VS Code installed for working with Dockerfiles.
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