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Services / GenAI

ChatGPT Prompt Engineering

1 day Remote
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Challenges

In a time when automation is key to efficiency, the ability to skillfully and effectively utilize AI systems like ChatGPT is becoming a crucial competitive advantage. However, asking AI tools questions in a way that prompts relevant, precise, and creative answers requires solid knowledge in prompt engineering – especially when ethical and data protection considerations are also involved. This training provides you with the necessary know-how to craft well-thought-out prompts, unlock the hidden potential of AI safely and responsibly, and integrate ChatGPT profitably into your business processes – a significant step to preparing your team for the digital future.

Goal

The aim of this training is to equip participants with the knowledge and skills to use ChatGPT safely, efficiently, and purposefully in a professional context. You will learn to formulate precise prompts to achieve desired results and gain insights into ethical use as well as data protection requirements. This will enable you to integrate AI technology optimally into your business processes and create long-term value.

Content

This training provides participants with in-depth knowledge of ChatGPT usage and the art of prompt engineering. Participants will learn how to formulate precise and effective requests to AI systems to achieve optimal results. In addition, the training offers a deep dive into AI applications in the business context, ethical considerations, and best practices. The compact structure offers maximum flexibility for integration into daily work and allows space for the immediate application of what is learned.

The training is divided into two parts:

1) Fundamentals and Initial Applications, as well as Deepening and Best Practices

In the first part, you will learn the basics and functionalities of ChatGPT and discover how to formulate questions and tasks to achieve the best results. You will gain insights into the principles of prompt engineering and practice generating precise and relevant answers through targeted inputs. Using concrete practical examples, you will see how ChatGPT can be successfully utilized in various business areas – such as customer service or marketing.

2) Advanced Topics, Best Practices, and Ethical Aspects

In the second part, you will deepen your knowledge and learn how to further optimize your prompts and tailor them to specific requirements. We will discuss proven methods to increase efficiency and provide tips on how to avoid common pitfalls. Another focus is on ethical and data protection aspects of AI use. Finally, we will review your progress and clarify any remaining questions to prepare you optimally for practical application in your work environment.

Between the two parts, there is an exercise to reinforce knowledge, which will be reviewed and optimized in the second part. Optionally, a “ChatGPT Mastery Challenge” can be added as a gamification element to increase motivation and foster creative learning approaches in a practical way.

Structure:

Part 1: Fundamentals and Application

  • Introduction to ChatGPT and its functionalities
  • Prompt design principles: Creating and optimizing effective prompts
  • Follow-up prompts to refine responses
  • Practical applications in a business context: Suitable use cases in various departments (e.g., marketing, customer service)

Part 2: Advanced Topics and Best Practices

  • Best practices for efficient and targeted use of ChatGPT
  • Limitations and constraints of ChatGPT and how to handle them
  • Data protection and ethical considerations when working with AI
  • Conclusion with Q&A and individual feedback on the exercises

Organizational information

  • 1-day training (recommended: two half-days of 4 hours each)
  • Location: Remote
  • Language: German/English optional
  • Number of participants: min. 5 – max. 10
  • The training is conducted by two trainers, which allows for individual support of the participants (including in practice sessions) and their questions, ensuring an optimal learning environment. Each section of the training includes practical tasks and exercises where participants can immediately apply the content they have learned.
Kevin Schu

Our trainer: Kevin Schu

Kevin Schu is Director of Cloud & DevOps Consulting, specializing in IT process automation and cloud-native architectures. He helps companies develop and scale CI/CD pipelines and integrates AI workloads like ChatGPT to streamline complex communication processes. With expertise in Docker, Kubernetes, and multi-cloud strategies on AWS, Azure, and Google Cloud, he focuses on driving efficiency, flexibility, and security in modern IT infrastructures.

Sarah Rojewski

Our trainer: Sarah Rojewski

Sarah Rojewski is a specialist in Generative and Conversational AI, advising companies on effectively integrating AI-driven solutions such as virtual assistants. As an independent consultant, she combines technical expertise with business and human perspectives to create holistic AI transformations. With extensive experience in developing and scaling Conversational AI, she guides organizations through structural changes, builds innovative teams, and sets new standards for sustainable and ethical AI use.