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DevOps Training in Munich with Certification

Learn DevOps in Munich with hands-on practice on Linux, Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, ELK Stack, AquaTrivy, Maven, and SonarQube. This course is built around real CI/CD pipelines, infrastructure as code, container security, monitoring, and production deployment workflows.

4.7/5 from 1,432 reviews
80 hours of practical DevOps training in Munich
Work with Git, Jenkins, Docker, Kubernetes, Terraform, and Ansible
Build CI/CD pipelines from code commit to deployment
Learn Linux administration, shell scripting, monitoring, and security
Get certification support plus placement guidance for DevOps roles
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Guarantee Program

14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

Upskilling Success

24,999

In 60 Days + Placement

Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online

Free Session

1 Hour Training Session

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Placement Assistance for DevOps Professionals in Munich

Learning DevOps is only useful when you can show that you can run deployments, manage infrastructure, and support production systems. Inventateq focuses on practical career support for Munich learners so the course outcomes match the roles hiring teams actually ask for.

Our Signature Career Support:

  • Resume help aligned to DevOps, Cloud Engineer, and Build and Release Engineer roles
  • Portfolio guidance using CI/CD, Docker, Kubernetes, and Terraform projects
  • Mock interviews on Linux, Git, Jenkins, AWS, Azure, and troubleshooting
  • Career mentoring for junior to senior DevOps and cloud operations paths
  • Interview preparation for automation, deployment, monitoring, and security questions

DevOps Salary Insights in Munich

Munich hires DevOps talent across software product teams, cloud operations, platform engineering, and infrastructure groups. Salary typically grows with hands-on experience in CI/CD, cloud platforms, container orchestration, automation, and production support.

DevOps Average Salary by Experience

Why Students Choose Our DevOps Course in Munich?

4.7/5 Google Rating | 1,432+ Verified Reviews

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Success Result: Our students are competing at global levels. Watch their placement journey here.

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About Inventateq DevOps Training Institute in Munich

Inventateq teaches DevOps the way it is used in real teams: Linux administration, shell scripting, Git, Maven, Jenkins, Docker, Kubernetes, Terraform, Ansible, monitoring, and security. The course follows a clear implementation path from build to scan to deploy to monitor, so learners practice the same flow used in production environments.

We stand apart through our commitment to:

  • Learn DevOps through hands-on implementation, not just theory
  • Build CI/CD pipelines with Jenkins, Git, Maven, SonarQube, and JFrog
  • Practice containerization and orchestration using Docker and Kubernetes
  • Work on infrastructure automation with Terraform and Ansible
  • Get mentor support and placement guidance for cloud and DevOps roles
 classes
Live Online
Remote Learning

AI Online Live Classes

Live online DevOps training from Munich follows the same practical format with instructor-led sessions and hands-on labs. Learners can attend from home or office, work through CI/CD, container, IaC, and monitoring exercises, and get support during each session.

Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support

DevOps Training Program

Software Developers

Good for developers who want to move into CI/CD, deployment automation, and DevOps engineering.

System Administrators

Useful for admins who want to add Linux automation, scripting, and cloud deployment skills.

Cloud Engineers

Fits cloud learners who want stronger Kubernetes, Terraform, and monitoring experience.

IT Managers

Helps managers understand DevOps workflows, release processes, and infrastructure planning.

Freshers with Linux interest

Suitable for beginners who want a structured path into DevOps and cloud operations.

Quick Highlights of Inventateq DevOps Course

Course Duration

  • Duration: 80 hours of structured DevOps training

  • Mode: Offline classroom and live online options

  • Format: Instructor-led sessions with hands-on labs

  • Focus: Practical implementation across CI/CD, IaC, containers, and monitoring

No prior DevOps job experience is required to start.

DevOps Training Curriculum in Munich

1. Linux System Administration (Week 1)

W1
  • Linux architecture and kernel basics
  • File system hierarchy, disk, and storage management
  • User, group, permissions, ACL, and security hardening
  • Process control, systemd, boot, logs, networking, and firewall basics

2. Shell Scripting for Automation (Week 2)

W2
  • Bash fundamentals and shell environments
  • Variables, input handling, conditions, and loops
  • Functions, arrays, error handling, and exit codes
  • Automation scripts for backup, monitoring, cron jobs, and deployment

3. Git Version Control (Week 3)

W3
  • Git architecture and distributed workflow
  • Repository setup, branching, merging, rebase, and cherry-pick
  • Conflict resolution, hooks, workflows, tags, and releases
  • Feature workflow and GitFlow-style collaboration

4. Build Automation with Maven and Quality Checks (Week 4)

W4
  • Maven lifecycle and POM structure
  • Dependencies, plugins, repositories, and packaging
  • Multi-module builds and artifact handling
  • SonarQube static analysis, quality gates, and vulnerability checks

5. Artifact Management and Jenkins CI/CD (Week 5)

W5
  • JFrog repository concepts and versioned artifacts
  • Jenkins architecture, agents, credentials, and webhooks
  • Declarative and scripted pipelines as code
  • Integrated workflow with Git, Maven, SonarQube, Docker, and distributed builds

6. Docker Containerization (Week 6)

W6
  • Docker architecture, images, and containers
  • Dockerfile creation, volumes, networking, and Compose
  • Private registry usage and container security practices
  • Packaging services for reproducible deployments

7. Kubernetes Orchestration (Week 7)

W7
  • Kubernetes architecture and cluster components
  • Pods, ReplicaSets, Deployments, Services, and Ingress
  • ConfigMaps, Secrets, storage, namespaces, and RBAC
  • Helm charts, autoscaling, rollouts, rollbacks, and troubleshooting

8. Infrastructure as Code with Terraform (Week 8)

W8
  • Terraform architecture, providers, variables, and outputs
  • State management, remote state, workspaces, and modules
  • Provisioners and infrastructure automation
  • Real-world deployment patterns for repeatable environments

9. Configuration Management with Ansible (Week 9)

W9
  • Ansible agentless architecture and inventory setup
  • Playbooks, roles, variables, templates, and handlers
  • Dynamic inventory and server provisioning
  • CI/CD integration for automated configuration delivery

10. Monitoring, Logging, and Security (Week 10)

W10
  • Prometheus metrics collection, PromQL, exporters, and alerting
  • Grafana dashboards and visualization
  • ELK Stack architecture, log pipelines, Kibana dashboards, and centralized logging
  • AquaTrivy image scanning and security checks in the pipeline

11. End-to-End DevOps Project Implementation (Week 11)

W11
  • Design a pipeline from code to build to scan to package to deploy
  • Implement production deployment strategy with scaling and availability
  • Connect monitoring and logging to the live workflow
  • Complete an end-to-end DevOps capstone using the tools covered

Rated 4.9/5

Why Inventateq for DevOps Training in Munich?

Inventateq keeps DevOps training practical and job-focused, with every major tool connected to an actual delivery workflow. Learners do not just read about CI/CD, containers, and IaC; they use them in sequence and learn how the pieces fit in production.

Why Students Trust Inventateq Munich

  • Trainers explain DevOps concepts through live implementation and examples
  • The syllabus covers current tools used in CI/CD, cloud, orchestration, and monitoring
  • Students get a supportive learning environment for questions and lab work
  • The course is organized to help learners move from basics to production-style projects
  • Placement guidance is built around the actual roles in the DevOps job market

Build Real DevOps Skills That Open Career Paths

By the end of the course, learners can set up pipelines, automate servers, deploy containers, monitor systems, and apply basic security checks. The training is designed so you leave with practical experience you can discuss in interviews and show in project work.

Build production-style CI/CD pipelines

Learn to connect Git, Jenkins, Maven, SonarQube, JFrog, and Docker into a working delivery flow.

Automate infrastructure and servers

Use Terraform and Ansible to create repeatable environments and handle configuration tasks.

Deploy and manage containers

Work with Docker and Kubernetes to package applications and run them reliably.

Monitor systems and respond to issues

Set up Prometheus, Grafana, and ELK Stack for metrics, dashboards, logs, and alerts.

Add security checks into the workflow

Use AquaTrivy and DevSecOps practices to scan container images and support safer releases.

Complete an end-to-end capstone

Finish with a practical DevOps project that connects code, build, scan, deploy, and monitor stages.

Certification for DevOps Training

This certification confirms that you have practical exposure to DevOps workflows, automation, containers, monitoring, and cloud deployment tools. It helps employers see that you have worked with the same technologies used in day-to-day DevOps and cloud operations roles.

Linux, Git, Jenkins, Docker, and Kubernetes

Earn this certificate upon successful completion of our training program.

Terraform and Ansible for infrastructure and configuration automation

Validate your skills with recognized industry credentials.

Prometheus, Grafana, and ELK Stack for monitoring and logging

Earn this certificate upon successful completion of our training program.

AquaTrivy and SonarQube for security and quality checks

Validate your skills with recognized industry credentials.

Detailed Insights: DevOps Training in Munich

Students Frequently Asked Questions

Is this DevOps course beginner-friendly?

Yes, the course starts with Linux system administration and shell scripting, so learners can build a base before moving into Jenkins, Docker, Kubernetes, and Terraform. It is suitable for beginners who are ready to practice consistently. The training is also useful for working professionals who want to shift into DevOps.

Will I get hands-on projects in the course?

Yes, the course includes practical work throughout the syllabus and ends with an end-to-end DevOps project. You will practice pipeline creation, container setup, orchestration, infrastructure automation, and monitoring. The goal is to help you learn by doing, not only by listening.

Does Inventateq provide placement assistance for DevOps roles?

Yes, the course includes placement support such as resume help, mock interviews, and role guidance. The support is aligned to DevOps, Cloud Engineer, SRE, and Build and Release Engineer positions. The focus is on helping you present your practical work in interviews.

Can non-technical or system administration backgrounds join this training?

Yes, candidates from system administration, support, or IT operations backgrounds can join and grow into DevOps roles. The course introduces the core workflow in a structured way and gives enough practice to build confidence. Some familiarity with Linux or scripting helps, but it is not mandatory.

Is live online training available for students in Munich?

Yes, live online training is available and covers the same syllabus as the classroom format. You can attend instructor-led sessions, complete labs, and ask questions in real time. This is useful if you want flexibility while still learning with guidance.

How long is the DevOps training program?

The program duration is 80 hours. It is designed to give enough time for Linux, scripting, CI/CD, containers, infrastructure as code, monitoring, and the final project. That makes the learning path more practical than a short overview course.

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