DevOps with Artificial Intelligence

Course overview

DevOps with Artificial Intelligence - Learning Path with EXIN DevOps Foundation and AI+ DevOps Course Description The training program DevOps with Artificial Intelligence combines the internationally recognized EXIN DevOps Foundation with the AI+ DevOps course into a comprehensive learning path. Participants first acquire solid knowledge of DevOps principles and then deepen their understanding of the use of Artificial Intelligence to optimize development, operations, and automation processes. The learning path covers the entire DevOps lifecycle - from the basics to Continuous Integration and Continuous Delivery, and the intelligent use of AI for analysis, automation, and process optimization. The goal is to make DevOps processes more efficient and support companies in their digital transformation. Upon successful completion, participants will have a solid understanding of modern DevOps methods and will be able to successfully implement AI-supported solutions to improve software development, IT operations, and DevOps processes. Target Group The training is aimed at software developers, system administrators, DevOps engineers, cloud engineers, IT administrators, IT project managers, and professionals who want to combine DevOps with modern AI technologies. Course Level Basics to Advanced Prerequisites Basic knowledge of information technology and initial experience in software development, system administration, or IT operations are advantageous. Module 1 - DevOps Fundamentals (EXIN DevOps Foundation) This module teaches the fundamentals of DevOps and shows how development, IT operations, and business areas can work efficiently together through a shared DevOps culture. Participants learn about DevOps principles, agile working methods, and lean concepts, and understand their significance for modern software delivery. Additionally, the foundations for continuous improvement of processes and services are provided.

Upcoming dates

• 2026-11-08T23:00:00.000Z · 2026-11-17T23:00:00.000Z · München · Combined Learning
• 2026-11-08T23:00:00.000Z · 2026-11-29T23:00:00.000Z · München · Combined Learning
• 2026-11-22T23:00:00.000Z · 2026-12-01T23:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-11-22T23:00:00.000Z · 2026-12-13T23:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-11-23T23:00:00.000Z · 2026-12-02T23:00:00.000Z · Passau · Combined Learning