From problem to solution – with structure, method, and clarity
You know your processes – but it’s not always clear where AI can provide meaningful support. This is exactly where the Foundation Level comes in.
In this two-day training, you will learn how to systematically identify, analyze, and approach potential applications for artificial intelligence in your work environment.
Together, we examine real-world challenges and translate them into solution-oriented AI approaches – in a clear, practical, and collaborative way. You’ll gain tools to recognize types of problems, match them with suitable AI solution types, and develop initial use cases from there.
Whether in production, administration, HR, or customer service – this course provides the methodological foundation to apply data-driven innovation where it’s needed most. And it’s designed to be accessible even for non-technical participants.
At the end of the training, you will hold a structured use case document in your hands – ready to be developed further with your team or explored in more depth in the next AIcademy level.
What you’ll take away
Clarity about the role of AI in your processes
A structured understanding of common problem types and suitable solution approaches
Your own evaluated AI use case – ready for further development
Methodological knowledge for structured problem and potential analysis
Confidence in handling terms and requirements related to AI
Inspiration from real-world examples across different industries
Tools to prepare for internal alignment and project proposals
Exchange and feedback within a learning-oriented group
Topics of Course
The Yellow Belt equips you with a structured method to analyze real-world process challenges and identify fitting AI-based solutions. You’ll learn how to classify different types of process issues, match them to proven AI solution patterns, and prioritize use cases for maximum impact. The focus is on practical tools, clear thinking, and immediate applicability in your work environment.
Pain Point Mapping
- Introduction to common inefficiencies in operational processes
- Identifying manual, repetitive, or opaque process steps
- Detecting improvement opportunities based on real-world examples
Typology of Process Problems
- Systematic categorization of issues (e.g. lack of information, bottlenecks, delayed decisions)
- Assessing impact on efficiency, quality, and customer experience
- Guidance on how to clearly and measurably describe problem statements
Understanding AI Solution Types
- Overview of typical approaches (e.g. classification, prediction, extraction)
- Matching solution types to relevant business contexts
- Clarifying data and infrastructure requirements
Problem-to-Solution Mapping
- Step-by-step guidance for linking specific problems to fitting AI methods
- Avoiding common pitfalls and overengineering
- Using templates and examples to guide structured thinking
Prioritization & Use Case Canvas
- Criteria for evaluating relevance, feasibility, and strategic fit
- Applying the Use Case Canvas to structure and refine your ideas
- Preparing a compelling use case pitch
Student Ratings & Reviews
5 star | 92 | 92% |
4 star | 8 | 8% |
3 star | 0% | |
2 star | 0% | |
1 star | 0% |
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Our Trainers

What sets our trainers apart
The trainers at AIcademy are not only AI experts – they are experienced practitioners, passionate educators, and strategic partners on your journey toward successful AI adoption.
- Strong in didactics and application-oriented
All trainers bring teaching experience and solid didactic skills – and know exactly how to explain complex topics in an accessible way. - Academically qualified & practice-driven
Our trainers have academic backgrounds as well as hands-on experience from real AI projects in business, public administration, and research. - Cross-industry expertise
Content is tailored to your context – with examples from SMEs, public institutions, and large corporations. - Tool and method competence
They don’t just teach concepts – they demonstrate how tools and processes actually work: hands-on, clear, and ready to apply. - Rigorous selection process
Only those who excel professionally, methodologically, and personally are accepted as AIcademy trainers. For us, quality is no coincidence. - Learning as equals
Our trainers act as sparring partners – curious, open, and empathetic. We believe learning should be inspiring, approachable, and sometimes even fun.
Super Einstieg. Ich werde auch noch den Green Belt drauf setzen
Kurs gewesen gut. Hat gut gefallen mir. Ist für Firma meine wichtig, dass ich kriege gute Bildung aus.
Ich nehme viele Impulse mit – auch für andere Teams
Strukturiert, nachvollziehbar, direkt einsatzbereit!
Hätte nicht gedacht, dass KI so greifbar werden kann.