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Prompt Engineering for ChatGPT
How well ChatGPT responds depends directly on how you ask. This training teaches you how to formulate prompts so you consistently get strong results from AI tools.
Key topics
- Understanding the structure and mechanics of effective prompts
- Developing language patterns that produce reliable AI outputs
- Applying context control and role concepts with precision
- Improving results through systematic iteration and refinement
- Recognizing common mistakes and aligning prompts with best practices
- Integrating ChatGPT efficiently into professional workflows
Prerequisite
Anyone who uses digital tools in their daily work and has an interest in AI applications can join directly. No technical background or programming skills are required.
Target group
Well suited for anyone who wants to use ChatGPT in a professional context – whether in communication, consulting, content production, or analytical and development roles.
You’ll leave this training with a prompt repertoire ready to apply right away – and an understanding of why precise language makes all the difference when working with AI.
course content
Getting started with prompting
- What prompts are and why they matter
- The difference between fine-tuning and prompting
- Overview of generative AI models: GPT, Claude, DeepSeek, and more
- Understanding the capabilities of generative AI
Foundations of effective prompting
- How text prompting works
- Why the structure of a prompt makes all the difference
- Building blocks of a well-constructed prompt
- Prompt types: Zero Shot, Multi-Shot, Zero-shot CoT
- Applying text prompting techniques in practice
Advanced prompting methods
- Refining and developing prompts iteratively
- Using summarization and compression strategies in prompting
- Formulating prompts for files and multimodal tasks
- Self-consistency and knowledge-based prompting
- Practical examples and case studies
Working with OpenAI and Gemini Studio
- Testing and applying model parameters effectively
- Understanding the context window and counting tokens correctly
- Configuring system instructions and built-in tools
- Getting started with rapid app development in Google AI Studio
Prompting for image generation
- Core principles of image prompting
- Generating images with DALL-E 2
- Improving outputs through targeted techniques
- Use cases in image-based workflows
- Applying image prompting in practice
Reliability and ethics in prompting
- Assessing security risks when working with AI
- Reducing unwanted outputs through deliberate prompt design
- Systematically minimizing risks in AI responses
- Promoting transparency in AI use
- Applying ethical prompting in practice
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
What does prompt engineering for ChatGPT involve?
- Prompt engineering is the deliberate design of text inputs to help ChatGPT deliver accurate, structured, and reliable responses.
Why is prompt engineering gaining in importance?
- ChatGPT output quality depends heavily on the quality of the input. Well-designed prompts significantly improve efficiency, accuracy, and value.
What will participants learn in this course?
- Basic and advanced techniques, logical query structure, role and context definition, and proven methods for professional use.
Where can this knowledge be applied?
- Prompt engineering is useful across many fields: writing, research, marketing, project management, analysis, and digital idea development.
How practical is the course?
- Real use cases and concrete prompt examples are used throughout – ready to apply and adapt to your own professional context.
Do I need prior knowledge of AI?
- No – the course is clearly structured and developed step by step. No technical or programming knowledge is required.
What is the practical benefit of professional prompts?
- Well-structured prompts deliver better results, reduce rework, increase productivity, and make working with ChatGPT significantly more efficient.
