Generative AI: Crash course for managers
In this training course, managers gain a strategic overview of generative AI and learn about the key success factors: from effective prompting and the secure connection of their own data sources (RAG) to the essential regulatory and ethical guidelines (AI Act, data protection). This enables participants to realistically assess the potential of AI for their company and make targeted use of it.
Objectives and training content
After the training, participants will be able to make informed strategic decisions about the use of generative AI. They will evaluate not only the technological potential, but also the relevant regulatory requirements and the possibilities for integrating their own data in order to manage AI initiatives in their company securely and in a value-adding manner.
Training content:
- Basics of generative AI
- Introduction to terminology, functionality, and relevance of generative models
- Overview of tools, frameworks, and economic aspects
- Text generation with LLMs and advanced prompting
- Basics of text generation with prompt engineering techniques
- Methods for prompt optimization
- Regulatory and ethical frameworks
- Best practices and guidelines for AI tools
- Opportunities, risks, and limitations of AI use
- Basics of AI compliance (AI Act, copyright, data protection, ethics)
- Integration of external data and Retrieval Augmented Generation (RAG)
- Strategies for connecting external documents and data sources
- Use of RAG to manage large data sources
- Optional: Generative AI in (software) engineering
- Optimization of requirements and tests with generative AI
- Potential for creating, understanding, testing, and documenting code with GitHub Copilot
The content of the training can be tailored to your project-specific requirements and questions.
Target audience
Prerequisites
Further information
Kontakt
Sabine Haegele
Trainings
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