- How do I document my practical project in a clear and convincing way?
- How do I structure a review with internal or external stakeholders?
- How do I derive lessons learned and make them usable within the organization?
AI Expert – Black Belt Certification
AI Expert – Black Belt Certification
For project leads, decision-makers, and executives with implementation experience
You’re planning an AI project that goes beyond a good concept – you want to manage it holistically, implement it responsibly, and anchor it sustainably within your organization. In the Expert Level of AIcademy, you’ll develop exactly those capabilities. You’ll learn how to structure AI projects methodically, lead them through all phases, and integrate both technical and organizational aspects.
The focus is on practical implementation strength – but also on responsibility: You’ll learn how to navigate ethical questions and regulatory requirements with confidence, particularly regarding the EU AI Act and the principles of Responsible AI. Communication, change management, and success metrics are just as much a part of the program as your personal practical project, which you’ll develop, document, and present during the course.
What you’ll take away
A solid methodology for holistic AI project management
Clarity on roles, risks, governance, and communication
Tools for control, success measurement, and documentation
A completed and evaluated AI project as proof of performance
Confidence in handling responsibility and compliance
Guidance on enabling others to use AI in a purposeful and responsible way within processes
Topics of Course
The Black Belt prepares you to lead complex AI projects from start to finish. You’ll explore professional methods for project planning, stakeholder management, and compliance. With a focus on responsible AI, communication, and performance measurement, you’ll gain the tools to deliver scalable, transparent AI initiatives—anchored in real project experience.
Project methodology (e.g. CRISP-DM, agile)
- How do I structure an AI project from idea to implementation?
- Which methods are suitable for different project contexts?
- How can I meaningfully combine classical and agile approaches?
Roles, stakeholders, communication
- Who takes on which role in the AI project and why?
- How can stakeholders be effectively involved early on?
- Which communication formats promote understanding and acceptance?
Responsible AI & Compliance
- What does “responsible AI” mean in practice?
- Which regulatory requirements need to be considered (e.g. EU AI Act)?
- How do I document and justify decisions transparently?
Project management, monitoring, KPIs
- How do I measure progress, quality, and impact of my AI project?
- Which KPIs make sense – and how are they collected?
- How do I establish practical monitoring without overhead?
Final project with review and documentation
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.
3 Modules á 4 hours + Project work
Set up and manage AI projects professionally
Include governance, communication, and change management
Responsible use of AI in project management
Implementation of a practical project as proof of performance
Audience
Project Managers
Executives/Decision Makers
Transformation Managers
