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Corporate · Onsite / Remote  ·  Advanced Container Training

Advanced Docker Training Corporate Container Technologies Program

From Linux isolation fundamentals (namespaces/cgroups) to Dockerfile optimization, from networking and storage to registry operations, Docker Compose, and Portainer — a 3-day corporate Docker program that takes your team end to end.

Instructor Onur Ömer Tunç
Onur Ömer Tunç · Instructor
Training Format
Onsite or Remote · Min. 5-Person Team
3 Days Flexible pace
What Our Participants Say
KY

"Multi-stage builds and cache optimization cut our image size by two-thirds."

Kaan Y. · Backend Developer
3
Modules
Onsite/Remote
Training Format
5+
Team Size
Hands-on
Lab-Focused
Certificate
On Completion
Who Is This For?

Who Is This Program For?

Built for teams new to container technologies or looking to take Docker to a production-grade level.

New Graduate

CS, engineering, or tech-program graduates or final-year students who want to build solid container fundamentals.

Career Switcher

Professionals with system administration or support experience moving into container and deployment work.

Software Engineer

Backend/full-stack engineers who want to containerize their app, optimize images, and set up a local dev environment.

System Administrator

Administrators moving from traditional server management to container operations, learning registry and network management.

Tools You'll Work With

A Quick Look at the Toolset

A quick overview of the industry-standard container tools you'll get hands-on with throughout the program.

Linux Operating System

The base operating system Docker runs on; command line and process management.

3 Modules · 3 Days · Custom Schedule

Program Curriculum

Adapted to your team's level. Click a module to see the details.

01
Day 01 Module 01
Container Architecture & Docker Fundamentals
From cgroups/Namespace Isolation to First Hands-On Docker CLI Operations
Close

We start by grounding you in the kernel mechanisms Docker is built on and the OCI standard. From Linux-level isolation with namespaces and cgroups to the Union File System (OverlayFS) logic that merges image layers, from the resource-consumption gap between hardware virtualization and OS-level isolation to the Docker Engine/containerd runtime architecture and the environment reproducibility that solves the “works on my machine” problem for good — we lay the theoretical foundation. From there you move into the Docker CLI: Client-Daemon communication, interactive (-it) and detached (-d) run modes, container lifecycle commands (run, start, stop, rm) and SIGTERM behavior, plus logging and debugging practice with docker logs, docker exec, and docker inspect.

What You'll Learn in This Module
The container concept and container-native thinking
Linux-level isolation with namespaces and cgroups
The Union File System (OverlayFS): how image layers are merged
Hardware virtualization (hypervisor) vs. OS-level isolation: architectural comparison and resource overhead
Container runtime architecture: Docker Engine, containerd, and the OCI (Open Container Initiative) standards
Environment reproducibility: solving the “works on my machine” problem for good
Docker installation and CLI components: Client-Daemon communication in practice
Interactive (-it) vs. detached (-d) container run modes
Container lifecycle commands: run, start, stop, rm, and SIGTERM behavior
Logging and debugging: docker logs, docker exec, docker inspect
Container ArchitectureOCI & containerdDocker CLI Format  Onsite/Remote + Hands-on Lab
02
Day 02 Module 02
Dockerfile Practice, Networking & Storage
From Image Authoring to Network Communication and Data Persistence
Details
03
Day 03 Module 03
Configuration, Resource Management & Orchestration
From Environment Variables to Registry Operations, Compose, and Portainer
Details
Program Outcomes

What Will You Be Able to Do After the Training?

6 Concrete Outcomes

Container architecture and OCI standards — can explain, end to end, how containers work under the hood, from Linux-level isolation with namespaces/cgroups to the Docker Engine, containerd, and OCI runtime architecture.

Production-quality Dockerfile authoring — can produce secure, lean images using the ENTRYPOINT/CMD distinction, build cache optimization, .dockerignore, and non-root (USER directive) practices.

Image optimization with multi-stage builds — can shrink production image size significantly by separating the build environment from the runtime environment.

Networking and data persistence — can set up container-to-container communication with port binding, custom networks, and container-internal DNS, and production-grade state management with named volumes and bind mounts, including backup and restore.

Resource management and registry operations — can test CPU/RAM limits with docker stats and safely push/pull tagged images to a registry.

Orchestration with Docker Compose and Portainer — can manage multi-container applications declaratively (IaC) with docker-compose.yml, and visually monitor and manage container operations through Portainer's open-source web interface.

On Program Completion

KubeAtlas Verified Docker Certificate

Every participant who completes all 3 days and the organization-specific capstone scenario earns a digitally verifiable KubeAtlas certificate that documents their competencies.

Digitally verifiable KubeAtlas certificate
LinkedIn-ready format for sharing
Competency proven through a real production image pipeline scenario
Hands-on registry and network configuration practice tailored to your organization
Note: The certificate is conditional on successful completion of all module labs and the capstone scenario.
KubeAtlas
Certificate of Completion
Docker & Container Technologies
Participant
Your Full Name
Certificate No.
KA-DKR-2026
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