Fundamentals of AI for Beginners

Course overview

The EXIN BCS Artificial Intelligence Foundation course provides a comprehensive understanding of the fundamentals, terminology, and development history of Artificial Intelligence (AI), as well as different types of AI and their societal significance. Key topics include AI ethics, bias, data protection, regulation, and risk management, as well as machine learning, robotics, and typical AI application areas. Another focus is on data quality, big data, large language models, and generative AI, along with the use of AI in organizations and business cases. The course is rounded off with future perspectives, career opportunities in the AI field, and targeted exam preparation. o Fundamentals of Artificial Intelligence (AI) o Terminology, history, and types of AI, as well as their societal significance and sustainable AI o AI ethics, bias, data protection, ethical principles, regulation, and risk management for AI o Application examples, robotics, basics of machine learning, as well as supervised, unsupervised, and semi-supervised learning o Data quality, data risks, data governance, big data, data visualization, large language models, generative AI, and AI training o Business case for AI, stakeholders, project management approaches, risks, costs, benefits, as well as AI governance and implementation o Career opportunities, practical examples, future impacts of AI, as well as AI awareness and ethical issues o Exam preparation and certification: EXIN BCS Artificial Intelligence Foundation Next step: Request a non-binding consultation for individual course composition and flexible start dates. This training can be combined with other courses from our offerings in IT and project management (PRINCE2®, Scrum, Kanban, DevOps, AI) as well as Microsoft® Office.

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2026-10-22T22:00:00.000Z · München · Combined Learning
• 2026-09-27T22:00:00.000Z · 2026-10-08T22:00:00.000Z · Stuttgart · Combined Learning
• 2026-09-27T22:00:00.000Z · 2026-10-22T22:00:00.000Z · Hannover · Combined Learning
• 2026-09-27T22:00:00.000Z · 2026-10-22T22:00:00.000Z · Oldenburg (Oldb) · Combined Learning
• 2026-09-27T22:00:00.000Z · 2026-10-22T22:00:00.000Z · Hamburg · Combined Learning