Prompt Engineering for ChatGPT

Price
Net €
VAT €

Price
Price on Request

Duration
1 day

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
Online Live

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Precisely formulated inputs determine the quality, depth, and reliability of AI-supported results. A systematic approach to language thus becomes a key success factor for modern work processes and digital value creation.

Key topics

  • Structure and logic of effective prompts.
  • Language patterns for consistent AI responses.
  • Context control and role models.
  • Optimization of results through iteration.
  • Common sources of error and best practices.
  • Efficient use of ChatGPT in everyday work.

Prerequisites
Basic digital skills and an interest in AI-supported applications and text-based systems are required. Programming skills are not necessary.

Target audience
Specialists and managers, content managers, consultants, analysts, developers, and anyone who wants to use AI tools productively, in a structured and targeted manner.

Confident use of prompt design enhances efficiency, quality, and decision-making ability in the digital environment. Linguistic precision is becoming a key skill for the professional use of AI and for sustainable innovation in data-driven organizations.
 

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course content
  • Understanding prompts and their necessity
  • Fine-tuning vs. prompting
  • Overview of various generative AI models (GPT, Claude, DeepSeek, etc.)
  • Understanding the capabilities of generative AI
  • Understanding text prompting
  • The importance of prompt structure
  • Key Components of an Effective Prompt
  • Types of prompts (zero shot, multi-short, zero-shot CoT)
  • Practical applications of text prompting techniques
  • Prompt iteration strategies
  • Summarization and compression strategies for prompting
  • Prompting strategies for files (exploring multi-model capability)
  • Self-consistency and knowledge prompting
  • Case studies and examples
  • Experimenting with model parameters for optimal prompting
  • Understanding the context window and counting tokens (for text and images)
  • System instructions and tools
  • Understanding rapid app development with Google AI Studio
  • Basics of image prompting
  • Image generation with DALL-E 2
  • Advanced techniques for improving image generation
  • Use cases and examples in image-based applications
  • Practical applications of image prompting
  • Understanding AI security risks
  • Techniques for promoting disappointment in AI responses
  • Risk mitigation in AI responses
  • Addressing transparency in AI
  • Practical applications of ethical prompting

Frequently asked questions

  • Prompt engineering involves the targeted creation of text inputs to enable ChatGPT to deliver accurate, structured, and reliable results.
  • The quality of ChatGPT's responses depends heavily on the input. Optimized prompts can significantly increase the efficiency, accuracy, and usefulness of AI.
  • Basic and advanced prompt techniques, logical structuring of queries, role and context definition, and proven best practices are taught.
  • Prompt engineering is suitable for text work, research, marketing, project work, analysis, idea development, and many other digital applications.
  • The course uses real-life use cases and concrete prompt examples that can be directly applied and adapted in everyday work.
  • No, the introduction is clear and step-by-step. Technical knowledge or programming experience are not required.
  • Structured prompts lead to better results, less rework, higher productivity, and more efficient use of ChatGPT.
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