AI+ Prompt Engineer Level 1™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Duration
1 day

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

Location

Course Language
English

Training Solutions
WalkIn®

Modern work requires precise thinking, creative problem solving, and confident use of AI systems. This text explains how current prompting methods can control complex models more efficiently, securely, and comprehensibly—in a practical, focused, and future-oriented way.

Key topics

  • The impact of strong prompt structures in AI-supported workflows.
  • Modern techniques for analyzing, controlling, and optimizing AI outputs.
  • Use of strategic prompt frameworks for robust results.
  • Quality control, testing methods, and iterative improvement processes.
  • AI ethics, risk awareness, and responsible model use.

Prerequisite
Basic understanding of digital work processes and interest in AI-supported text, data, or knowledge processing.

Target group
Professionals from business, administration, education, or technology who want to use precise AI interaction as a productive tool.

A solid foundation for the professional use of modern AI systems is created, strengthening your own contribution to more efficient, creative, and sustainably digitally supported work processes.
 

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course content
  • Introduction to Artificial Intelligence
  • History of AI
  • Fundamentals of Machine Learning
  • Deep learning and neural networks
  • Natural Language Processing (NLP)
  • Fundamentals of prompt engineering
  • Introduction to the principles of effective prompts
  • Giving instructions
  • Formatting responses
  • Providing examples
  • Evaluating the quality of responses
  • Task sharing
  • Applying the five principles
  • Correcting incorrect prompts
  • Understanding AI tools and models
  • Dive deep into ChatGPT
  • Explore GPT-4
  • The art revolution with DALL-E 2
  • Introduction to new tools with GPT
  • Specialized AI models
  • Advanced AI models
  • Google AI innovations
  • Comparative analysis of AI tools
  • Practical application scenarios
  • Harnessing the potential of AI
  • Zero-shot prompting
  • Few-shot prompting
  • Chain-of-thought prompting
  • Ensuring self-consistency in AI responses
  • Generating knowledge prompting
  • Prompt chaining
  • Tree of Thoughts: Exploring multiple solutions
  • Retrieval Augmented Generation
  • Graph prompting and advanced data interpretation
  • Practical application: Real-life scenarios
  • Practical exercises
  • Introduction to image models
  • Understanding image generation
  • Style modifiers and quality enhancers in image generation
  • Advanced prompt engineering in AI image generation
  • Prompt rewriting for image models
  • Image modification techniques: inpainting and outpainting
  • Realistic image generation
  • Realistic models and consistent characters
  • Practical application of image model techniques
  • Introduction to project-based learning in the field of AI
  • Selecting a project topic
  • Project planning and design in the field of AI
  • AI implementation and prompt engineering
  • Integration of text and image models
  • Evaluation and integration in AI projects
  • Appealing and effective project presentation
  • Example of a guided project
  • Introduction to AI Ethics
  • Bias and fairness in AI models
  • Data protection and data security in AI
  • The Need for Transparency in AI Operations
  • Sustainable AI Development: A Necessity for the Future
  • Ethical scenario analysis in AI: Navigating the complex landscape
  • Navigating the complex landscape of AI regulations and governance
  • Navigating the regulatory landscape: A guide for AI practitioners
  • Ethical frameworks and guidelines in AI development
  • What are AI agents?
  • Applications and trends of AI agents for prompt engineers
  • How does an AI agent work?
  • Key features of AI agents
  • Significance of AI agents
  • Types of AI agents

Frequently asked questions

  • A practical certification program that teaches the basics of prompt engineering—understandable, modern, and implementable without prior knowledge.
  • The course covers the basics of AI systems, prompt structure, effective prompt strategies, tool use, and targeted handling of generative AI.
  • Ideal for anyone working in marketing, communications, IT, education, or content who wants to use AI efficiently in their everyday work—even without a technical background.
  • Without clear prompts, AI delivers inaccurate results. The training shows how precise instructions significantly increase the quality and relevance of AI responses.
  • No. The course is designed to be beginner-friendly, but it teaches structured thinking and how to use AI models in a practical and understandable way.
  • The course utilizes leading AI platforms such as ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), and Cohere. It demonstrates how to effectively utilize, compare, and optimize prompts in these tools.
  • The certification opens up new opportunities in AI projects, content creation, data analysis, product development, and digital marketing.
  • It confirms that you can work systematically with AI, develop prompts, and optimize them—valuable proof of modern skills.

Do you have any further questions? Please contact us.