Munich

NobleProg München , Landshuter Allee 8-10, München, germany, 80637

Overview 

Our training facilities are located at Landshuter Allee 8-10 in Munich. Thanks to good transport connections, our spacious training rooms are easy to reach and offer optimal training conditions.

 

Directions 

The NobleProg training facilities are conveniently located not far from the A95 and A96 motorways. The underground station Rotkreuzplatz and the S-Bahn station Donnersbergerbrücke are within walking distance. 

 

Parking spaces 

There are numerous free parking spaces around our training rooms.

 

Local infrastructure 

Not far from Landshuter Allee you will find various restaurants and in the nearby Arnulfstrasse there are several hotels.

Explore Our Courses

Advanced Automation with Ansible

 14 Hours
The course is intended to give engineers who currently use Ansible knowledge of the deeper and more specialist areas involved in its application. The aim of the workshop is to give a greater understanding of what goes on "under the hood", how Ansible can be used in the application development lifecycle, and how Ansible can be tailored for scaled and enterprise environments.
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Introduction to Ansible

 7 Hours
Course objectives: Understand the basics of Ansible Learn how to install and configure Ansible Explore the core components of Ansible: Playbooks, Modules, and Inventory Implement automation tasks using Ansible Execute Ansible Playbooks to manage and automate remote servers
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Ansible AWX Fundamentals for DevOps Automation

 21 Hours
This instructor-led, live training in Munich (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to efficiently execute preprogrammed functions and administer software development workflows using the powerful RESTful API of Ansible AWX. By the end of this training, participants will be able to:
  • Install and configure Ansible AWX on their preferred software development environment.
  • Understand the DevOps principles and concepts foundational to Ansible AWX.
  • Utilize  AWX's automation tools to enhance workflows and facilitate DevOps processes.
  • Integrate AWX with external resources to leverage its features and collaborate with teams.
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Managing Configuration with Ansible

 21 Hours
This course has been created to system administrators who want to automate system and application configuration management with Ansible. This course focuses mostly on Linux/Unix servers.
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Ansible for Experts

 35 Hours
This instructor-led, live training in Munich (online or onsite) is aimed at DevOps engineers, developers, and SysOps administrators who wish to maximize the tools and features made available through the Ansible project for the advancement of organizational IT infrastructures and processes. Simultaneously, they can utilize the opportunity to carry out complex Ansible implementations for large-scale applications while employing its open-sourced tower for optimized DevOps management and collaboration functions. By the end of this training, participants will be able to:
  • Install and configure Ansible along with other open-source tools and resources.
  • Establish a centralized system for DevOps management using Ansible project features.
  • Operate automation tools and advanced resources of Ansible to achieve CI/CD approach.
  • Execute better SysOps methods using Ansible's collaborative features for management of larger teams.
  • Enhance DevOps tasks execution within the organization and optimize existing ones.
  • Integrate Ansible with external platforms and leverage other Ansible tools for the organization's advantage.
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Ansible for Network Engineers

 14 Hours
This instructor-led, live training in Munich (online or onsite) is aimed at network or DevOps engineers who wish to use Ansible to manage network systems more efficiently through automation. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building and using network automation.
  • Create Ansible playbooks for executing and automating tasks in multiple network systems.
  • Use Python network automation scripts to manage and configure network devices.
  • Manage network configuration changes dynamically using Jinja2 templates.
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Ansible and Puppet for Large Infrastructures

 14 Hours
This instructor-led, live training in Munich (online or onsite) is aimed at DevOps engineers who wish to automate IT infrastructure with Ansible and Puppet. By the end of this training, participants will be able to:
  • Configure and manage IT infrastructure.
  • Build a pipeline for effective code deployment.
  • Implement self-service infrastructure and application delivery.
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Advanced Automation with Red Hat Ansible

 35 Hours
This instructor-led, live training in Munich (online or onsite) is aimed at DevOps engineers, developers, and SysOps administrators who wish to employ the Red Hat Ansible Automation Platform for executing software development functions and orchestrating advanced IT processes. Furthermore, they can demonstrate and hone Ansible practices that are advantageous to specific enterprise applications, all the while efficiently collaborating with their respective teams  for the accomplishment of complex business functionalities. By the end of this training, participants will be able to:
  • Install and configure Red Hat Ansible Automation Platform within the preferred environment.
  • Familiarize with advanced Ansible features for centralizing and managing projects.
  • Utilize automation tools and higher-level resources of Red Hat Ansible to achieve CI/CD approach.
  • Perform administrative methods for better collaboration of larger teams.
  • Enhance DevOps tasks execution within the organization and optimize existing ones.
  • Integrate Ansible Automation Platform with other Red Hat distributions to maximize productivity.
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RHEL 8 for Linux Administrators

 35 Hours
This instructor-led, live training in Munich (online or onsite) is aimed at intermediate-level system administrators and IT professionals who wish to effectively manage, optimize, and secure RHEL 8 environments using the latest tools and techniques. By the end of this training, participants will be able to:
  • Install and configure RHEL 8 for enterprise use.
  • Use advanced tools like App Streams, Stratis, and the Virtual Data Optimizer for efficient storage management.
  • Implement secure networking using NFTables and Firewalld.
  • Automate systems administration tasks with Ansible, including the deployment and scaling of tasks.
  • Manage the lifecycle of containers and secure deployments in production environments.
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Testimonials (5)

I really enjoyed this course and whilst I consider myself to be more intermediate level rather than beginner I took a lot away from it with regards to Roles, Jinja2 and Encryption. Kumbulani was friendly and patient, and was keen to ensure no one was left behind before moving on to the next task.

Jonathan - Optimus Learning Services

Course - Ansible for Network Engineers

It really spoke to what we already have in our department

Letlotlo Miffi

Course - Ansible for Experts

The most I enjoyed is the best instructor who knew everything with Ansible plus everything else in other related topics. He was always patient to answer to everyone's question in detail and even encouraged everyone to ask, even if too obvious or too stupid.

Young Song - Global Knowledge Network Training Ltd

Course - Advanced Automation with Ansible

- the approach of the trainer and how he was explaining

hatim hajji - ING Business Shared Services B.V.

Course - Introduction to Ansible Automation

Technical knowledge was on point.

Andrei Geanta

Course - Managing Configuration with Ansible

Upcoming Courses

Introduction to Ansible

2025-06-02 09:30
7 hours
Munich
1736 EUR (Online)
1936 EUR (Classroom)

Ansible for Experts

2025-06-16 09:30
35 hours
Munich
8680 EUR (Online)
9680 EUR (Classroom)

RHEL 8 for Linux Administrators

2025-06-30 09:30
35 hours
Munich
9880 EUR (Online)
10880 EUR (Classroom)

Managing Configuration with Ansible

2025-07-14 09:30
21 hours
Munich
5208 EUR (Online)
5808 EUR (Classroom)

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