Short Description
An in-depth introduction to the world of generative AI: how common models work, differences between modalities (text, image, audio), quality assessment, and safe application in a corporate context.
Learning Goals / Benefits
- Understand the technical fundamentals of common Generative AI models
- Recognize the differences between modalities (text, image, audio)
- Assess output quality based on criteria
- Evaluate risks, bias, and cost factors
Content / Modules
- Architecture of Generative AI models
- Text, image, and audio use cases
- Quality measurement & prompt optimization
- Security and cost aspects
- Live demos of various tools
Target Audience
Beginners and advanced learners, cross-functional, executives
Format & Duration
1 day, in-person or online
Practical Component & Methodology
Expert input, discussion, tool demonstrations, group work
Prerequisites
Basic understanding of digital tools is a plus