Employees who learn to formulate precise and effective prompts can maximize the performance of AI tools such as ChatGPT and Co. In this workshop, they will learn how to quickly generate tailor-made solutions, creative content and efficient processes through clever prompts. This not only improves productivity, but also enables employees to specifically integrate AI into their everyday work and achieve innovative results faster.

In this workshop, participants learn how to generate precise and effective prompts for AI models such as ChatGPT, Claude, and others. Practice-oriented exercises teach how to achieve the best results through optimized inputs and use the power of artificial intelligence in a targeted manner.

Benefits for you as a company:

• Maximize AI efficiency by developing prompts that deliver desired results quickly and precisely.
• Increasing innovative capacity by promoting creative use of AI in all areas of the company, from product development to customer service.
• Cost savings by reducing manual processes and achieving results quickly with the right AI interaction.
• Competitive advantage through early use of advanced AI technologies to optimize processes and support decision-making.
• Training employees in a sustainable skill that optimizes interaction with modern AI tools and ensures efficient work processes.

1. Introduction to Prompt Engineering and its Importance

• What is prompt engineering?
• The role of prompts when interacting with generative AI models (such as ChatGPT, Claude and Co.)
• Why good prompt engineering is critical to the efficiency and accuracy of AI responses
• Overview of the most important AI models and how they work in terms of prompt engineering

2. The Basics of Prompt Engineering: Principles and Techniques

• Fundamental principles of AI prompt development: clarity, accuracy, and context
• Different types of prompts: Direct, explanatory, open, and step-by-step prompts
• Learning the meaning of “few-shot” and “zero-shot” in prompt creation
• Building effective prompts: How to maximize AI performance through precise and well-formulated inputs

3. Structured and creative prompts: examples of use and techniques

• Examples of structured prompts: How to achieve precise results for specific tasks (e.g. code generation, word processing, analysis)
• Creative prompts: How to get AI models to take on creative tasks (e.g. content generation, idea collection)
• The art of balancing precise inquiries and open, creative prompts
• How to influence answers through targeted guidelines and detailed inquiries

4. Practical Applications of Prompt Engineering in Software Development

• Generate code and code explanation through effectively designed prompts
• Debugging and code optimization through targeted AI prompts
• Preparation of tests, documentation and technical specifications with AI support
• Optimizing productivity and quality in software development through sophisticated prompt engineering

5. Error prevention and problem-solving approaches

• Common mistakes when creating prompts and how to avoid them (e.g. ambiguities, unclear requirements)
• How to deal with inaccurate or unwanted AI responses: Techniques to improve prompt wording
• Iterating and refining prompts: How to continuously achieve better results
• Examples of inaccurate answers and how to correct and optimize them

6. Best practices for effectively interacting with AI tools

• The best approaches for long-term success in prompt engineering
• How to regularly optimize AI models to better meet specific needs and requirements
• Techniques for scaling AI solutions in larger projects and teams
• How to adapt AI systems so that they respond efficiently and quickly to changing requirements

7. Advanced Techniques: Prompt Engineering for Complex Tasks

• How to create multi-stage prompts for complex tasks (e.g. multi-stage decision processes, data evaluation)
• Using models to create hierarchical and dynamic prompts
• Using conversations with AI: How to effectively use AI in multi-level dialogues
• Optimizing models through continuous prompt adjustment: Insight into dynamic prompt techniques

8. Integration of prompt engineering into the development process

• How to integrate and optimize prompt engineering into the software development process
• Tools and frameworks to support prompt engineering in large projects
• Collaboration with other team members through structured prompt techniques
• Best practices for using AI prompts in agile and continuous development processes

9th practical workshop: Experience prompt engineering live

• Interactive exercises: participants develop and refine prompts for specific use cases
• Practical example 1: Creating a precise prompt for code generation and optimization
• Practical example 2: Development of creative prompts for content generation and marketing texts
• Feedback round: Joint analysis of results and optimization of prompts

10. Outlook and development in the area of prompt engineering

• Future prospects for prompt engineering: How AI and machine learning will continue to change the creation of prompts
• Technological trends that influence prompt engineering: Adaptable AI models, next-generation language models
• Continuing education opportunities and resources to deepen prompt engineering skills
• How to benefit from the latest developments in prompt engineering as a developer or business user

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