DevOps Foundation and Programming with AI

Course overview

Objective The training program provides comprehensive knowledge and practical skills in the areas of DevOps and programming with Artificial Intelligence (AI). It aims to enhance efficiency and agility in IT teams and enable the development of intelligent software applications. Content The training is divided into two main modules: DevOps Foundation Introduction to the principles and cultural aspects of DevOps Explanation of the reasons for using DevOps and clarification of misunderstandings Presentation of key DevOps practices, including version control, configuration management, and Continuous Everything Teaching of Value Stream Thinking and the Deployment Pipeline Discussion of Service Management as an enabler for DevOps Engagement with metrics, KPIs, and measurement methods in DevOps Discussion of DevSecOps and best practices for security Analysis of the interplay between DevOps and agile methods such as Scrum and Kanban Insights into the application of AI in DevOps, including GenAI and AIOps Preparation for the DevOps exam Programming with Artificial Intelligence (AI) Basics of software development and its interplay with AI Overview of Artificial Intelligence and common development environments (IDEs) Practical application of AI tools such as ChatGPT and Claude for programming Teaching of fundamental programming concepts and version control with Git and GitHub Introduction to JavaScript, HTML, and CSS for the development of modern web applications Creation of full-stack web applications and interactive websites Use of APIs in conjunction with AI Basics of databases and authentication Planning, organization, and error analysis of coding projects Discussion of security in web and programming Deployment of applications Learning Objectives Understanding of the cultural and philosophical approaches of DevOps Ability to apply key DevOps practices to improve workflows Knowledge of methods for measuring and improving processes in the DevOps environment Skill development in programming intelligent applications using AI tools Ability to create and deploy web applications Understanding of the integration of AI into the software development process Acquisition of knowledge for error analysis and optimization of code with AI support Career Prospects The training qualifies participants for roles in areas such as IT operations, software development, and application management. Graduates are empowered to apply the principles of DevOps to enhance efficiency and agility and to independently develop intelligent software solutions. The acquired skills are relevant for roles that require close collaboration between development and operations teams, as well as for the development of AI-supported applications.

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Berlin · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Bielefeld · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-11-19T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Bremen · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-24T22:00:00.000Z · Bremen · Combined Learning