- When is an internal project worth it – and when is it not
- How can I meaningfully compare external providers
- What technical and legal aspects need to be considered when selecting a tool
AI Practitioner – Green Belt Certification – 3 days Training
AI Practitioner – Green Belt Certification – 3 days Training
For everyone who wants to put AI projects into practice
You’ve identified a promising AI project – but what’s next? In the Practitioner Course of AIcademy, you’ll be guided in developing your use case into a concrete implementation plan.
You’ll learn how to turn your idea into a viable solution scenario, assess available data, and compare potential solution paths. You’ll receive practical methods to systematically analyze technical requirements, organizational conditions, and possible risks.
Together, we’ll develop concrete roadmaps, evaluate build-or-buy options, and prepare decision-making templates that truly convince your internal stakeholders. The course concludes with an independent practical project, which you’ll document and present – with the goal of reaching real implementation readiness.
What you'll take away
A validated AI use case
Clarity on data requirements, risks, and effort
Methodological know-how for solution selection and project structuring
A presentation-ready decision-making template for stakeholders and management
Experience from your own AI project – documented and reflected
Confidence in preparing arguments for internal decision-making processes
Topics of Course
The Green Belt takes your foundational understanding to the next level by guiding you through the evaluation and planning of AI initiatives. You’ll learn how to assess data readiness, compare implementation strategies, and build a practical roadmap. Through a hands-on project and optional AI Clinic, you’ll move from concept to actionable plan with confidence.
Review of problem–solution type logic
- Review of the assignment methodology from the Foundation Level
- Application of the logic to new, more complex problem scenarios
- Discussion of common thinking errors and pitfalls in the assignment process
Criteria for evaluating solutions: data, effort, risks
- Which data is needed – and how do I assess its quality
- How do I estimate the effort and benefit of different solutions
- What are the risks regarding technology, organization, and regulation
Selection concepts: in-house development, tools, services
Scenario analysis & roadmapping
- How do I design different solution scenarios for my use case
- Which milestones, dependencies, and quick wins are realistic
- How do I anchor my initiative in the overall project plan
Final workshop with decision-making template
- How do I present my proposed solution convincingly
- Which questions are typically asked – and how can I prepare
- What belongs in a decision-making template for management
Practical project with documentation and reflection
- How do I document my project in a clear and audience-appropriate way
- What have I learned – and how can I apply this knowledge moving forward
- How do I present my project convincingly in the final module
Coaching / AI Clinic (optional)
- Individual sparring to deepen your specific use case
- Clarification of open questions regarding data, solution evaluation, or roadmap
- Personal feedback from experienced trainers
Student Ratings & Reviews
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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.
1.599,00 €
3 days training
Prerequisites: AIcademy Yellow Belt
Initial experience with AI or completion of dmAIc / Process & AI
You are able to evaluate use cases & business impact
You know about data strategy & quality
You incorporate compliance, ethics & risk
You will be able to lead AI projects
Audience
Process Owners
Innovation Managers
Transformation Managers
Digital-Teams
IT Managers
Endlich ein Training, das wirklich bei der Umsetzung hilft. Kein Bla-Bla, sondern fundierte Arbeit an echten Use Cases
Ich konnte direkt nach dem Kurs mit meinem KI-Projekt loslegen. Top Input, starke Struktur und echte Praxisnähe. Dafür, dass das der erste Kurs überhaupt war – einfach klasse, danke!
Der Green Belt war genau die richtige Vertiefung nach dem Foundation-Level. Besonders hilfreich: die Bewertung der Datenlage
Die AI Clinic hat mein Projekt wirklich vorangebracht – konkrete Roadmap, klares Zielbild und super Sparring!