AI in Project Management and Everyday Work

Course overview

AI in agile project management and everyday work Objective This training program provides comprehensive knowledge in the field of Artificial Intelligence (AI) and its application possibilities in agile project management as well as in everyday work environments. It highlights the integration of AI technologies to increase efficiency, automate processes, and support decision-making processes in agile structures. Content The training is divided into two main areas: AI in Agile Project Management Introduction to AI and agile project management Agile principles and methods Fundamentals of Artificial Intelligence Interfaces between AI and agile project management Data management and data quality in AI projects Use of AI for automation in agile projects AI tools and technologies in the agile team context Planning and implementation of AI projects in agile structures Change management and promoting acceptance of AI in the team Risk management and ethical aspects of AI applications AI-supported decision-making and forecasting models Best practices and success factors in AI-supported agile project management Cyber security in the context of AI systems AI in Everyday Work Introduction to AI in everyday work Fundamentals of Artificial Intelligence Technological concepts and application architectures Data as the basis of AI - data quality and management Legal framework and the AI Act Application possibilities of AI in everyday work Overview of AI tools and software solutions Supporting project management with AI Change management and organizational change through AI Implementation strategies for AI projects Risks, challenges, and ethical aspects Future trends and continuous development in AI Learning Objectives Upon completion of this training program, participants will be able to: Understand the fundamentals of AI and its relevance for agile project management. Identify and plan AI applications for increasing efficiency and optimizing processes in an agile environment. Select and implement AI tools and technologies for use in agile teams. Consider data management and ethical aspects in the context of AI projects. Utilize AI-supported decision-making processes and forecasts. Recognize and leverage the potential of AI to transform everyday work. Evaluate legal frameworks and risks in dealing with AI. Develop strategies for implementing AI in the company. Career Perspectives The acquired knowledge and skills are relevant for specialists and executives in the fields of project management, IT management, software development, and process optimization. They enable strategic planning and implementation of AI initiatives to increase project and workplace productivity. The content supports activities related to the introduction and management of AI systems in organizations.

Upcoming dates

• 2026-11-22T23:00:00.000Z · 2027-01-14T23:00:00.000Z · Berlin · Combined Learning
• 2026-11-22T23:00:00.000Z · 2027-01-14T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-11-22T23:00:00.000Z · 2027-03-11T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-11-22T23:00:00.000Z · 2027-03-11T23:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-11-22T23:00:00.000Z · 2027-03-11T23:00:00.000Z · Bremen · Combined Learning