- CAS
Artificial Intelligence for Business
Want to use artificial intelligence to make radical changes to your organisation, products or processes? Learn how to help your business benefit from the technological revolution.
The CAS Artificial Intelligence for Business offers a heavily practice-based introduction to artificial intelligence (AI) and machine learning (ML) for executives without any prior technical knowledge. It is designed to give specialists and executives from the world of business, administration and non-profit organisations a better appreciation of the potential of AI and to enable them to communicate effectively with data scientists. In the CAS, we show you how to avoid the usual pitfalls when deploying AI in your organisation, enabling you to start and successfully implement data-driven projects.
- You will appreciate the potential that various AI/ML techniques hold for business process optimisation in different areas of your organisation.
- You will understand how to create your own AI use case description with «ML Canvas» and initiate an AI project.
- You will gain a broad understanding of the different roles within an AI team and learn how to form such heterogeneous teams from the fields of business and technology and work with them towards specific goals.
- You will understand the regulatory and ethical challenges surrounding AI technologies and be able to gauge their relevance to your business.
- You will be in a position to anticipate future changes that AI technologies will bring about in the business environment and will understand how to react appropriately and use the technologies to your advantage.
For further information and registration, please visit the German website.
Factsheet
- Degree/Certificate Certificate of Advanced Studies (CAS)
- Duration 18 study days
- Schedule see schedule
- Application deadline 6 weeks before start, later registration also possible if places are available
- ECTS credits 12 ECTS-Credits
- Costs CHF 8,500
- Teaching language German
- Location Bern, Schwarztorstrasse 48
- School Business School
- Next session Please visit the German website for more information