DevOps Master

Price
Net €
VAT €

Price
Price on Request

Duration
2 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
German

Training Solutions
Connected Classroom

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Programming is becoming a key skill for data, automation, and AI applications. Python is considered a clear, versatile language with high relevance in the web, analytics, and AI environments.

Key topics

Basics of Python syntax and logic.
Working with variables, data types, and functions.
Control structures for efficient processes.
Introduction to data and AI-related fields of application.
Understanding of clean, readable code.

Prerequisites
Basic technical understanding and interest in digital processes. Programming experience is not required.

Target group
Professionals, students, and people interested in technology who want to use programming as a basis for web, data analysis, or AI.

Python provides structured access to modern software development and data-oriented work and creates a stable foundation for further digital and AI-related skills.

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course content

Overview

Taking responsibility for DevOps
Planning, requirements analysis, and design
Development and implementation
IT operations and scaling
Management of the end-of-life process

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What tasks are part of DevOps?

Typical tasks include automation, continuous integration, continuous deployment, monitoring, cloud usage, and close collaboration between teams.

What is a DevOps Master?

A DevOps Master connects development and IT operations. The focus is on automated processes, stable systems, and fast software delivery.

What skills are important for DevOps?

Knowledge of cloud, Linux, containers, automation, CI/CD pipelines, scripting, and an understanding of agile methods are required.

Why is DevOps so relevant for companies?

DevOps speeds up development cycles, improves software quality, and reduces errors. Digital products reach the market faster and with greater stability.

What tools are used in the DevOps environment?

Frequently used tools include Docker, Kubernetes, Jenkins, Git, Terraform, Ansible, and cloud platforms such as AWS, Azure, or Google Cloud.

Is DevOps also suitable for beginners?

You can get started if you have a basic understanding of technology. Many people start with the basics of cloud computing, automation, and version control.

What career opportunities does DevOps offer?

DevOps skills are in high demand. Possible applications range from cloud engineering and site reliability to IT architecture.

Do you have any further questions? Please contact us.

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