AI Specialist

Course overview

The course "AI Specialist" provides in-depth knowledge about methods, technologies, and application areas of Artificial Intelligence (AI) as well as their practical use in various professional contexts. The aim of the training is to develop a solid understanding of AI-based systems and to acquire competencies to professionally accompany, evaluate, and integrate AI applications in companies or organizations. The course is aimed at professionals from fields such as IT, data analysis, project management, controlling, marketing, corporate development, digital transformation, as well as individuals who wish to engage more deeply with AI technologies and their practical applications. At the beginning of the training, fundamental concepts and technologies of Artificial Intelligence are covered. Participants will learn key terms and procedures, including machine learning, neural networks, data analysis methods, and generative AI models. It will be explained how AI systems process data, recognize patterns, and derive predictions or automated results from them. The goal is to develop a solid technical and conceptual understanding of how modern AI technologies work and to classify their application possibilities in various professional contexts. A significant part of the course is working with data as the basis for AI applications. Participants will learn the importance of data quality, data structure, and data management for successful AI projects. They will be taught how to collect, prepare, and analyze data from different sources. Additionally, fundamental methods of data analysis and data processing will be covered, which play a central role in the development or application of AI systems. The course also addresses typical application areas of Artificial Intelligence in companies and organizations. These include, for example, automated data analyses, intelligent assistance systems, process automation, generative AI applications, recommendation systems, and AI-supported decision-making. Participants will learn how such applications can be used to support work processes, systematically evaluate data, and prepare business decisions based on structured information. Another focus is on the practical implementation of AI projects. Participants will engage with how to identify suitable application cases, define project requirements, and select appropriate AI technologies. Furthermore, organizational aspects of implementation will be addressed, such as collaboration between departments, IT areas, and external service providers. The goal is to impart competencies to not only understand AI applications but also to accompany their introduction and use in the company professionally. In addition to technical and organizational topics, legal and ethical aspects of using Artificial Intelligence will also be discussed. This includes questions of data protection, data security, transparency of automated systems, and the responsible use of AI technologies. Participants…

Upcoming dates

• 2026-10-04T22:00:00.000Z · 2026-11-02T23:00:00.000Z · Wiesbaden · Combined Learning
• 2026-10-04T22:00:00.000Z · 2026-11-02T23:00:00.000Z · Neu-Isenburg · Combined Learning
• 2026-10-04T22:00:00.000Z · 2026-11-02T23:00:00.000Z · Bonn · Combined Learning
• 2026-10-04T22:00:00.000Z · 2026-11-02T23:00:00.000Z · München · Combined Learning
• 2026-10-04T22:00:00.000Z · 2026-11-02T23:00:00.000Z · Regensburg · Combined Learning