AI Business Specialist (FPE)  (Brugg):
2 Provider - 5 Training locations

Whether AI or AI - the difference is linguistic; in continuing education, further training, both terms are treated equally. Participants acquire skills in AI / AI, how models are developed and evaluated. AI or AI is deliberately used in both variants in course content in order to reflect the global standard.

Artificial intelligence (AI) refers to the use of modern algorithms to utilize machine learning and data analysis in companies. An AI Business Specialist learns how AI can automate business processes and support well-founded decisions during continuing education, further training. Practical examples and tools are presented in order to use AI in a targeted manner.

AI solutions go beyond rule-based software, as they are self-learning and recognize patterns in data. Continuing education, further training shows how AI solutions are designed, evaluated and integrated into existing systems. You will learn why artificial intelligence solutions are more flexible and adaptive than traditional software and what added value such solutions bring to companies.

Artificial intelligence consulting is important because AI technologies are complex and many companies need support with planning and implementation. The Artificial Intelligence Consulting course teaches how to evaluate projects, select deployment scenarios and support change management. This enables consultants to efficiently introduce customer-specific AI solutions.

Artificial intelligence for companies is implemented by first analyzing use cases and setting up data infrastructure. The continuing education, further training shows how model training and the selection of technologies for AI for business are carried out. It then explains how AI for companies is transferred to existing processes and scaled.

The preparation for the Federal Professional Examination AI Business Specialist provides practical knowledge about the use of artificial intelligence in companies. The course is geared towards the requirements of today's working world and covers various subject areas:

• Basics of artificial intelligence: understanding key terms, technologies and developments in the field of AI
• Data analysis and data management: application of statistical methods, data preparation, interpretation and visualization of data
• Project management: planning, implementation and control of AI projects in the corporate context
• AI strategy and business benefits: Development of business models, evaluation of application potential and economic aspects
• Ethical and legal issues: Responsible use of AI, data protection and social impact
• Practical use cases: concrete examples from business practice on the application of artificial intelligence

These topics as preparation for the Federal Professional Examination AI Business Specialist prepare students specifically for professional activities at the intersection of technology and business. The focus is on how AI projects can be successfully planned, implemented and assessed.

The content of the preparation for the Federal Professional Examination AI Business Specialist may vary slightly depending on the school. It is therefore advisable to enquire about the specific course content directly with the respective educational institution. An inquiry can be sent directly to the desired school using the contact form. In this way, all open questions can be clarified easily and specifically.

Artificial intelligence in companies can significantly increase efficiency, innovative strength and data-based decision-making processes. The AI Business Specialist course shows how AI is used in companies to optimize resources and develop new business models. It also teaches how AI can be implemented responsibly and ethically within a company.

AI projects in education require an understanding of data management, modeling and project control. The course shows how such projects are structured, tasks defined and results measured. Participants learn how to specifically address risks and ethical issues in AI projects.

Artificial intelligence consulting focuses on AI technologies such as machine learning, NLP or image processing - in contrast to traditional IT consulting, which often covers general infrastructure and software. In AI consulting, participants learn how to prepare data for AI projects and how to create and evaluate models. In addition, processes are geared towards AI measurability - a core element of consulting.

AI solutions for companies are specifically designed to enrich business applications - for example for forecasting, automation or customer segmentation. The continuing education, further training teaches how AI solutions for companies are developed, implemented and scaled. Participants will also learn how to continuously monitor and optimize such solutions for companies.

The terms AI / AI describe the same concept, once in German (KI: Künstliche Intelligenz) and once in English (AI: Artificial Intelligence). Both terms are used in the course, as they are equivalent and often combined in practice, research and literature. Participants learn to apply concepts in both languages in order to support international projects.

Training in AI consulting provides the skills to analyze technological and strategic issues with a view to AI solutions. Through consulting, students learn how to identify requirements, co/design suitable AI solutions and implement them in the company. Practical knowledge is applied in the process: The consultancy shows how to identify use cases and evaluate project results.