Gen AI in Companies: Basics, Applications and Data Protection

Do you use language models to develop a service? Whether it's for your employees or your customers, we all know that language models are powerful tools. We can use them to analyze texts, answer emails, write program code and much more.

But have you ever thought about how such a service should actually be designed? How do you formulate the prompts so that the language model delivers exactly what you, your colleagues or customers need? And what data does your service need to access?

Don't forget security issues! As soon as you start processing internal company data with an LLM, you should be aware of the potential risks. There are certain attack techniques, such as prompt injection, that you should definitely be aware of.

If you are not yet fully aware of these issues, our course could be just the thing for you!

The 5-week course takes place entirely online. We meet weekly for 1-3 hours in a virtual classroom. You will receive digital learning materials that you can access at any time, especially in the first two weeks. Plan some extra study time for this.

We will cover the following content:

• Week 1: GenAI Kick-Off 
• Week 2: GenAI Q&A E-Learning 
• Week 3: GenAI Use Case Canvas 
• Week 4: GenAI Own Use Case 
• Week 5: GenAI Exam

• know the definition and functionality of Generative AI and Large Language Models (LLMs).
• describe security risks such as prompt injection and apply strategies to avoid them.
• describe your own GenAI use case and evaluate its feasibility.

Successful participants receive the micro-certificate “Gen AI and Data Protection”, which confirms their expertise in use cases, compliance and data security.

Certification is carried out by the Fraunhofer Personnel Certification Body.

Event venue: Online 

Language: German

Organisation: Fraunhofer-Institut für Angewandte Informationstechnik FIT

Duration: 5 days, friday 9–10 am (week 1+2) and 9–12 am (week 3+4)

You are ...

a GenAI enthusiast who is excited to use new technologies to develop innovative, data-driven solutions. You take responsibility for making business processes more efficient and want to use generative AI to increase productivity and competitiveness. You work in areas such as IT, data analysis, marketing, production or administration and attach great importance to always using technologies in compliance with data protection regulations. With your focus on practical solutions, you are constantly looking for new ways to develop and stay one step ahead through creative approaches.

Then you've come to the right place.

You are interested in questions like ...

... can you drive innovation within a regulated environment while complying with legal requirements?

How can you improve efficiency in public administration and modernize citizen services?

How can you drive e-government and administrative modernization while ensuring data privacy and security?

What opportunities does generative AI offer to optimize administrative processes and support decision-making?