IT Project Management and AI: Requirements, Technical Risks, and AI Assistance

Course overview

The training "IT Project Management and AI: Requirements, Technical Risks, and AI Assistance" imparts fundamental and advanced knowledge in the areas of "Requirements", "Technical Risks", and "AI Assistance". The transfer to new situations is explicitly practiced for AI in project management. The structure focuses on planning, prioritization, collaboration, progress control, and continuous improvement. At the end, work results from IT project management are reflected upon and compared with the learning objectives related to AI in project management. The guiding theme is the task "IT Project Management and AI"; it is addressed from a technical, methodological, and quality-related perspective. The core focus is on the competence field of IT project management and the application focus of AI in project management. 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 The technical classification of IT project management is supplemented by concrete tasks related to AI in project management. The educational content is divided into seven interrelated learning sections: - Fundamentals of Task Management: The focus on "IT Project Management and AI" is contextualized regarding task frameworks, 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. - Requirements: Terms, processes, and decision points are interconnected and applied in a practical task. The learning tasks connect IT project management with AI in project management and make the interfaces between both topics visible. - Technical Risks: This subtopic is addressed using central terms, typical work steps, and a comprehensible application case. - AI Assistance: Participants formulate suitable tasks, review generated results, and document assumptions and uncertainties. - Planning and Control Process: Goals are translated into tasks, priorities are coordinated, and progress as well as open points are transparently tracked. The transfer part deepens IT project management and translates the insights into a coherent task related to AI in project management. - Transparency, Risks, and Coordination: Progress, dependencies, and risks are made visible; agreements and decisions remain comprehensible for participants. Professional situations are examined to determine how IT project management is classified and what role AI plays in project management. - Practical Case and Transfer: Participants work on a coherent case, justify their approach, and transfer the insights gained to a changed task. Work results related to AI in project management are discussed and improved based on clear criteria. Typical requirements, possible solu…

Upcoming dates

• 2026-08-30T22:00:00.000Z · 2026-10-25T23:00:00.000Z · München · Combined Learning
• 2026-08-30T22:00:00.000Z · 2026-12-20T23:00:00.000Z · München · Combined Learning
• 2026-09-27T22:00:00.000Z · 2026-11-22T23:00:00.000Z · München · Combined Learning
• 2026-09-27T22:00:00.000Z · 2027-01-17T23:00:00.000Z · München · Combined Learning