„AI ist turning into one of the key competitive factors in financial services“

Sven Krämer, Partner, zeb


AI Boot Camp –
in Financial

Artificial intelligence (AI) is one of the most important future trends, also in the financial industry

The abundance of possible applications entails many questions: How can use cases be identified and prioritized? What are the necessary technological and organizational conditions for using AI? What data basis is required?

The AI Boot Camp addresses exactly these questions, aiming to improve clarity and confidence in dealing with this megatrend and to demonstrate the practical significance of AI for your company –building bridges between decision-makers and implementers.

We teach the basics of artificial intelligence and show you approaches that are essential for selecting AI use cases in real life. Case studies, practical exercises and the presentation of best practice examples guarantee a hands-on experience. The focus is on the financial sector with its special features and versatile use cases for AI solutions.


Target audience

The two workshops are aimed in particular at executives and employees of financial institutions who interface with AI initiatives, but are suitable for interested employees from all industries.


Certificate of Basic Studies (CBS) “AI Boot Camp – Artificial Intelligence in Financial Services”, Steinbeis University


Live workshop

Study location

Munich, Hamburg or in-house by individual arrangement

Tuition fees

EUR 2,990 for both workshops
EUR 1,600 for a single workshop

Upcoming dates

August 24 and 25, 2023 in Hamburg


The contents are taught in two live workshops, each of which can also be booked individually.

AI Workshop 1
Basics and conditions of using AI in financial services

  • Theoretical basics of artificial intelligence

  • Strategic frameworks, common challenges and relevant success factors when introducing AI in the (financial services) organization

Uses of AI in financial services

  • Overview of possible use cases and applications for artificial intelligence in the (FS) organization

  • Evaluation and prioritization of the identified use cases

AI Workshop 2
Basics of AI development using Dataiku

  • Practical application of the newly acquired knowledge using the “Dataiku” tool

  • Introduction to the different phases of the machine learning development model “CRISP-DM cycle” based on a real-life example

Change management & scaling of AI in the organization

  • Insights into additional relevant topics in the area of AI implementation in the (FS) organization, such as change management or successful scaling of AI in the organization

  • Success factors and best practice for the broader use of AI based on real-world examples