Agile Projects and AI: Iteration Planning, AI Support, and Team Decisions

Course overview

The training "Agile Projects and AI: Iteration Planning, AI Support, and Team Decisions" gradually introduces the topics of "Iteration Planning", "AI Support", and "Team Decisions" and transfers the content to comprehensible work situations. Commonalities, differences, and meaningful transitions between Artificial Intelligence and Agile Project Management are elaborated. The learning sequence connects role clarification, transparent task management, team coordination, and reflective adjustment of the approach. Based on professional situations, it is examined how Artificial Intelligence is classified and what role Agile Project Management plays in this context. The guiding theme is the task "Agile Projects and AI"; it is addressed from a technical, methodological, and quality-related perspective. Documented results show how Artificial Intelligence and Agile Project Management interact in the respective task area. Participants work on comprehensible practical cases from agile and digital projects, compare solution paths, and document assumptions, decisions, and results. The goal is a structured understanding of the task areas described in the title and their application in different work situations. Program For the practical cases, knowledge of Artificial Intelligence is built up and linked to professional references to Agile Project Management. The educational content is divided into seven interrelated learning sections: - Fundamentals of Task Management: The focus on "Agile Projects and AI" is classified in terms of task framework, typical areas of application, and the necessary work steps. The orientation is specified through task management, role coordination, visible progress, and the gradual adjustment of the approach. - Iteration Planning: Participants organize work packages, agree on priorities, and make progress visible based on clear criteria. The exercises address Artificial Intelligence in a clear workflow and incorporate Agile Project Management at appropriate decision points. - AI Support: Application possibilities are described based on clear tasks; inputs, outputs, limits, and control steps are examined together. - Team Decisions: Participants structure votes, moderate different perspectives, and derive concrete next steps. The transfer part deepens Artificial Intelligence and translates the insights into a coherent task related to Agile Project Management. - Task Flow and Continuous Adjustment: Work is made visible, bottlenecks are identified, and the approach is gradually improved based on feedback. - Transparency, Risks, and Coordination: Progress, dependencies, and risks are made visible; agreements and decisions remain comprehensible for participants. In the result control, both Artificial Intelligence and Agile Project Management are examined based on comprehensible criteria. - Documented Final Example: The acquired knowledge is consolidated in a complete task and documented with work steps, decisions, and results. The focus…

Upcoming dates

• 2026-08-09T22:00:00.000Z · 2026-10-04T22:00:00.000Z · München · Combined Learning
• 2026-08-09T22:00:00.000Z · 2026-11-29T23:00:00.000Z · München · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-11-01T23:00:00.000Z · München · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-12-27T23:00:00.000Z · München · Combined Learning