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100% fundable

AI+ Prompting Fundamentals™

Precisely formulated inputs are the key to AI results that are genuinely useful. With AI+ Prompting Fundamentals™, you develop a methodical understanding of how to direct AI systems effectively – and apply it straight away in your professional work.

Key topics

  • Systematically build and effectively use prompt structures.
  • How language and context influence the quality of AI outputs.
  • Refine results step by step and improve them with intention.
  • Think through real use cases and implement them with AI.
  • Save time and raise work quality through smart control.

Prerequisite
Those who are comfortable with digital tools and have had some initial contact with AI come with ideal starting conditions.

Target group
Anyone who wants to get more out of AI – whether just starting out or already with some experience: professionals, content creators, project managers, and anyone who wants to apply AI in a structured way.

Turning a vague AI request into a precise instruction sounds simple – but it changes everything. This training puts exactly that tool in your hands.
 

Course Content
  • What is AI – and how is it changing the way we work?
  • The origins and evolution of artificial intelligence
  • Machine learning at a glance
  • Deep learning, neural networks, and how they function
  • Natural language processing as the foundation for prompting
  • First steps in prompt engineering
  • Structure and logic of effective prompts
  • Writing clear instructions
  • Structuring and formatting responses
  • Using examples to guide results
  • Systematically evaluating output quality
  • Dividing and distributing tasks effectively
  • Applying the five core principles deliberately
  • Recognizing and correcting flawed prompts
  • Overview of common AI tools and language models
  • ChatGPT – how it works and where to use it
  • Exploring GPT-4 in practice
  • Image generation with DALL·E 2
  • Discovering new GPT-based tools
  • Specialized and industry-specific AI models
  • Next-generation high-performance AI systems
  • AI innovations from the Google ecosystem
  • Systematically comparing and evaluating AI tools
  • Deriving and testing everyday application scenarios
  • Unlocking AI potential strategically
  • Using zero-shot prompting effectively
  • Leveraging few-shot prompting for more precise outputs
  • Chain-of-thought prompting for complex tasks
  • Ensuring self-consistency in AI responses
  • Developing knowledge-generating prompts
  • Chaining prompts systematically
  • Tree of thoughts – exploring multiple solution paths
  • Understanding retrieval-augmented generation (RAG)
  • Graph prompting and expert-level data interpretation
  • Transferring techniques to real-world scenarios
  • Hands-on exercises for consolidation
  • Getting started with AI image models and their principles
  • Understanding image generation in depth
  • Applying style and quality modifiers deliberately
  • Advanced prompt engineering for images
  • Refining and optimizing image prompts
  • Inpainting and outpainting as editing techniques
  • Generating realistic images with precision
  • Building consistent characters and scenarios
  • Applying image model techniques in practice
  • The concept of project-based learning in an AI context
  • Developing and selecting a suitable project topic
  • Planning and structuring AI projects
  • AI implementation and prompt engineering in a project
  • Combining text and image models effectively
  • Evaluating and integrating project results
  • Presenting results convincingly and effectively
  • Working through a practical example with guidance
  • Foundations of ethics in working with AI
  • Recognizing bias and fairness issues in AI systems
  • Ensuring data protection and security in AI applications
  • Why transparency in AI systems is essential
  • Sustainable AI development as a societal responsibility
  • Analyzing and evaluating ethical scenarios
  • Understanding and contextualizing AI regulation and governance
  • Navigating the regulatory framework for AI practitioners
  • Ethical guidelines and frameworks in AI development
  • The concept and definition of AI agents
  • Current use cases and trends for prompt engineers
  • How an AI agent works technically
  • Key features and capabilities of autonomous AI systems
  • The significance of AI agents for work processes
  • Different types of agents and their characteristics

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.

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