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Docker & Kubernetes

Implement cloud-native architectures with Docker and Kubernetes in a structured way and operate them efficiently

Format: On-site and online training

Duration: 3 days

Directly to the dates
Implement cloud-native architectures with Docker and Kubernetes in a structured way and operate them efficiently

The 3-day training combines solid technological knowledge with practical exercises and concrete application scenarios. Participants learn how to efficiently deploy containerized applications with Docker and operate them with Kubernetes in a stable, scalable, and maintainable way. The focus lies on the architectural perspective: How can modern container platforms be designed to meet the requirements for operations, security, automation, and continuous evolution? Using practical examples, the training demonstrates how Docker and Kubernetes can be meaningfully integrated into existing system landscapes and used to build robust, future-ready platforms. After completing the course, participants will be able to accurately assess container-based architectures, apply key concepts confidently, and make well-founded technical decisions in the context of scalability, resilience, and operational readiness.

What can you expect?

In the Docker & Kubernetes training, you will acquire practical knowledge to deploy containerized applications in a structured way and operate modern platforms reliably. You will learn how Docker and Kubernetes work together and how to design container-based architectures so that they meet the requirements for scalability, security, maintainability, and automation. The focus is on a solid understanding of key concepts as well as their application in realistic scenarios, enabling you to confidently place Docker and Kubernetes within existing system landscapes and use them productively.

Your benefits

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You understand how to deploy modern applications consistently with Docker and operate them reliably with Kubernetes.

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You learn how to build container-based architectures in a structured, scalable, and operationally reliable way.

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You acquire practical knowledge for the professional use of Docker and Kubernetes in an enterprise context.

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You gain confidence in evaluating architectural decisions related to containerization and orchestration.

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You learn to consider operational requirements such as security, maintainability, automation, and stability right from the start.

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You can use Docker and Kubernetes in a targeted way to further develop existing platforms and make them future-proof.

Training content in detail

Containerization and platform fundamentals

➤ Introduction to containerization, Docker, and Kubernetes, including their role within modern software platforms.

Docker in practice

➤ Working with images, containers, Dockerfiles, builds, registries, and essential Docker commands.

Networks, volumes, and Compose

➤ Container communication, persistence, and building multi‑container applications with Docker Compose.

Security and best practices

➤ Typical risks, clean configurations, and best practices for build, operations, and deployment.

Kubernetes architecture and core concepts

➤ Cluster setup, kubectl, YAML, pods, deployments, and fundamental resources in the Kubernetes environment.

Deployment, networking, storage, and scaling

➤ Services, persistence, replication, high availability, and structured deployment of applications in the cluster.

Configuration, monitoring, and troubleshooting

➤ ConfigMaps, secrets, logging, monitoring, and error diagnostics in practical use.

Practical projects and knowledge transfer

➤ Exercises and final assignments to apply what you have learned in realistic scenarios.

Open dates and registration

-100€

up to 6 weeks before the start of the training.

Are you interested in this training?

Then please call us at +49 621 595702 41, send an email to academy@itech-progress.com, or send us a written inquiry via the contact form:

Our Trainers

Your benefits at a glance

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Practice-oriented content: Real examples and practical exercises are the focus.

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Cutting-edge concepts: Comprehensive knowledge of current trends and technologies is provided.

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Efficient integration: Development of hybrid systems that optimally combine machine learning with classical software methods.

Technical Requirements

There are no specific requirements for the training environment, as the exercises are conducted using cloud- and web-based tools such as Miro, Draw.io, and platforms like Jupyter or HuggingFace. A stable and sufficiently fast internet connection is all that is needed.

Prerequisites for Participants

The training is aimed at participants with a basic technical understanding of software development, system operations, or architecture. Initial experience with Linux, the command line, YAML, and modern deployment scenarios is helpful. Exposure to containers or cloud‑native environments is an advantage but not strictly required.

Face-to-face training

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Includes training materials and exercise documents

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Cold and hot beverages, snacks, and lunch provided on all training days

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Modern, well-equipped, and spacious training rooms for a comfortable learning environment

Live-Online-Training

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Includes training materials and exercise documents

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Includes training materials and exercise documents

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High level of interactivity through tailored exercises and breakout rooms

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Ideal trainer support even in the breakout rooms

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Would you like customized in-house training?

Do you have an entire team you want to train, but none of our courses fully match your requirements? No problem! We are happy to create a customized in‑house training program together with you — whether for beginners or advanced participants. We look forward to your inquiry!

Inquire Now+49 621 595702 41