Containerized solutions are here to stay — but what exactly are containers? And how do you build, use and run them? This course covers those questions and more. You will learn exactly how Docker containers work — how to build them, how to place your applications in them and how to run them.
What will you learn?
After the training, you will be able to:
Containerize your application
Interact with the container
Use best practices to design containerized applications
- Introduction to Docker and containers
- Working with the Docker CLI
- Writing Dockerfiles
- How to work with volumes and containers
- Understand how layers work and why they are important
- The joy of automation with Docker Compose
- Deploying Docker in CI/CD pipelines
This training is for you if:
You are an (data) engineer/architect or curious data scientists
You want to learn about microservices architectures
You want to learn best practices about containerizing (data) applications
Bonus if you have some basic knowledge of *nix, though not essential
This training is not for you if:
You are looking to know how containers can help your organization but do not plan on building or operating them
You are also interested in learning how to develop applications orchestrating multiple containers with Kubernetes. Have a look at our Docker & Kubernetes training.
Learn how Docker works
It’s a hands-on training that walks you through deploying your applications in a reproducible and scalable way with Docker – learn today apply tomorrow!
Learn best practices to optimize your containerized designs
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, the trainer will get in touch to ask you about any requirements you may have and any pre-course tasks you will need to do.
See you soon!
All literature and course materials are included in the price
After registering for this course, you will receive a confirmation email with practical information
This course requires a laptop
Online courses are delivered via Zoom or Microsoft Teams
Meet the trainers
Travis enjoys solving engineering puzzles that mostly involve broken pipelines and a lack of automation. He loves learning new technologies and helping others become better engineers (even if that’s not in their job title).
David has a background in mathematical psychology, where he used statistics and data science to study human behavior. He also has a passion for software development and multiple years of experience teaching about technical topics.
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