DevOps Process Optimization and AI-Driven Market Analysis

Course overview

Course Objective The training program provides comprehensive knowledge in the field of DevOps and AI-driven marketing analyses. Participants gain a deep understanding of the principles, practices, and tools of DevOps to optimize IT processes and promote agile working methods. At the same time, the application possibilities of Artificial Intelligence (AI) for precise and efficient market analysis skills and the derivation of concrete recommendations for action are conveyed. Content The DevOps part of the program covers the fundamentals and values of DevOps, the importance of culture and collaboration, as well as central practices such as Continuous Integration, Delivery, and Deployment. Topics such as testing methods, quality assurance, containerization, microservices, and lean thinking are also addressed, along with metrics, change management, and the application of agile frameworks like Scrum and Kanban. Innovative practices such as ChatOps and Value Stream Mapping, as well as the importance of knowledge sharing, are also part of the curriculum. The module on market analysis with AI introduces the fundamentals and benefits of modern market analysis. The components of market analysis, including data, sources, and AI, are explained. The focus is on analyzing demand and dynamics, competitive landscapes, and target groups. Furthermore, methods for segmenting markets, developing personas, and measuring marketing effectiveness using AI are covered. The synthesis of insights from large data sets to derive actionable recommendations, the preparation of reports and visualizations, and a look at future trends round off this part.

Upcoming dates

• 2026-09-13T22:00:00.000Z · 2026-10-22T22:00:00.000Z · Berlin · Combined Learning
• 2026-09-13T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-09-13T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Bremen · Combined Learning
• 2026-09-13T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Darmstadt · Combined Learning
• 2026-09-13T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Dortmund · Combined Learning