1. basics of generative AI
- What is generative AI and how does it work?
- Differences between classic AI systems and generative models
- Overview of current tools: ChatGPT, Microsoft Copilot, Gemini, Claude
- Opportunities and challenges in everyday office use
2. typical application scenarios in the work context
- Text generation: emails, reports, presentations
- Summaries and research: Saving time through AI-supported information processing
- Brainstorming and creative processes: Brainstorming with AI
- Support with routine tasks: Scheduling, task lists, translations
3. introduction to prompt engineering
- What are prompts and why are they important?
- Structure and composition of effective prompts
- Examples of good and bad input
- Tips for optimising AI responses
4. evaluation and improvement of AI results
- Quality criteria for AI-generated content
- Dealing with incorrect or inappropriate responses
- Style, tonality and target group orientation
- Use of feedback mechanisms to improve results
5. integration of AI in Office applications
- Use of Microsoft Copilot in Word, Outlook, Excel and PowerPoint
- Automated text suggestions and formatting
- Data analysis with AI support in Excel
- Creating presentations with AI-generated content
6. data protection and ethical aspects
- Handling sensitive data in AI systems
- Copyright and transparency in AI-generated content
- Limits of automation: responsibility and control
- Company guidelines and compliance requirements
7. practical exercises and case studies
- Live work with ChatGPT and Microsoft Copilot
- Application to own work processes
- Case studies from different areas of the company (e.g. marketing, HR, sales)
- Reflection and discussion: What works well, where are the limits?