AI in Everyday Work and Master's Program

Course overview

AI Master's Program Objective The training provides knowledge and skills in the field of Artificial Intelligence (AI). The focus is on understanding advanced AI technologies and developing applications for problem-solving. Content - Introduction to AI and Artificial Intelligence - Basics of classical Machine Learning - Introduction to neural networks and Deep Learning - Basics and functioning of generative AI - Selection of suitable AI technologies for specific use cases - Strategies for AI-first approaches - Planning and implementation of AI-supported process optimization - Cyber Security in the context of AI systems - Configuration of AI assistants and agent systems - Implementation of AI in existing processes - Strategic AI marketing as a case study - Practical project: Development of a prototype of an AI system - Ethics, law, and responsibility in AI development - Industry-specific applications and further knowledge - Final presentation and outlook on further perspectives Learning Objectives - Conveying fundamentals and advanced concepts of Artificial Intelligence. - Enabling the selection and application of AI technologies. - Development of strategies for AI implementation and process optimization. - Understanding security-related aspects and ethical issues in the AI environment. - Practical application through the development of an AI system prototype. Career Prospects The acquired knowledge is relevant for activities in areas dealing with the development, implementation, and strategic application of Artificial Intelligence. This includes roles in project management, IT strategy, and application development. AI in Everyday Work Objective This training addresses the use of Artificial Intelligence in everyday work and its potential to transform workflows. Content - Introduction to AI in everyday work - Basics of Artificial Intelligence - Technological concepts and application architectures - Data as the basis of AI - data quality and management - Legal framework and the AI Act - Applications of AI in everyday work - Overview of AI tools and software solutions - Support for project management through AI - Change management and organizational change through AI - Implementation strategies for AI projects - Risks, challenges, and ethical aspects in AI use - Future trends and continuous development in the field of AI Learning Objectives - Understanding the fundamentals and application areas of AI in the work environment. - Knowledge of relevant technological concepts and legal frameworks. - Ability to identify and evaluate AI tools and software solutions. - Acquisition of skills to support project management and organizational change through AI. - Engagement with risks, challenges, and ethical issues. Career Prospects The content is applicable for specialists and executives who initiate and accompany AI-supported changes in their work areas. This particularly concerns roles in project management, process optimization, and strategic corporate deve…

Upcoming dates

• 2026-10-11T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-10-11T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Bremen · Combined Learning
• 2026-10-11T22:00:00.000Z · 2026-12-03T23:00:00.000Z · Bremen · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Bremen · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-01-28T23:00:00.000Z · Dortmund · Combined Learning