AI Champion Training – Build Knowledge, Shape Change, Effectively Integrate AI into Your Organization
Upon request
2–5 modules (variable)
Online, in Munich, or in-house
Upon request
German or English
Digital Certificate of Participation
Your training to become an AI Champion—from practical application to the strategic implementation of artificial intelligence (AI). Artificial intelligence is transforming the way companies operate, make decisions, and drive innovation. But real impact is only achieved when people within the company use AI competently, provide guidance, and actively support the transformation. This is exactly where our AI Champion training comes in: It empowers employees, executives, and project managers to confidently use AI tools, support teams through the AI transformation, and responsibly integrate artificial intelligence into the organization.
You’ll learn about the most important AI tools, gain in-depth knowledge of AI technologies, develop a forward-thinking mindset, and build practical skills to identify, drive, and measurably implement AI initiatives.
AI Champion Training – Become the driving force behind AI in your company
AI is transforming the world of work—and you can actively help shape this transformation. In the AI Champion Training, you’ll learn—through five concise modules—what AI is truly capable of, how to use it effectively in your daily work, and how to guide your team and organization along the way. Hands-on, practical, and no prior technical knowledge required—for everyone who wants to not only use AI but also drive its adoption forward.
“What Is AI—and Why Now?”
- What Is AI, ML, and Generative AI? – Explained Simply
- The Current AI Landscape: Tools, Providers, Trends
- AI in a Business Context: Opportunities & Risks
- How AI Is Changing Your Industry
- The Role of the AI Champion / Change Manager in the Company
“Where does AI provide real added value in our company?”
- Framework for use case identification (e.g., impact-effort matrix)
- Use Case Categories: Automation, Analysis, Generation, Assistance
- Prioritization & Creating a Business Case
- Common Mistakes in Use Case Selection
- Hands-On Exercise: Develop and Pitch Your Own Use Cases
“How can I use AI effectively in my day-to-day work?”
- Overview of Relevant Tools (LLMs, Image Generation, Automation)
- Prompt Engineering: Fundamentals, Techniques, Best Practices
- Hands-On: Optimizing Your Own Workflows with AI
- Tool Evaluation: Which Tool for Which Purpose?
- Data Protection & Compliance in AI Deployment
“How do I integrate AI into my team and organization?”
- Fundamentals of Change Management in the Context of AI
- Understanding and Addressing Resistance (Fear, Skepticism, Feeling Overwhelmed)
- AI Communication Strategy: Presenting a Convincing Image Internally
- Stakeholder Management: From Executive Management to the Team
- Building an AI Learning Culture & Community of Practice
- Train-the-Trainer: Empowering Others
“How do we make AI safe, fair, and sustainably successful?”
- AI Risks: Bias, Hallucinations, Data Protection (GDPR, EU AI Act)
- Develop Ethical Guidelines & Internal AI Policies
- Measuring Success: KPIs for AI Initiatives
- Establishing AI Governance Structures Within the Company
- Roadmap: From Pilot Projects to Scaled AI Deployment
- Final Project / Certification
What You Can Put into Practice Right Away After the AI Champion Training
- Using AI Tools Safely and Effectively—From Analysis to Automation
- Identify and evaluate AI use cases and translate them into projects
- Supporting Teams Through AI-Driven Change and Reducing Uncertainty
- Working with AI in an Ethical, Responsible, and Safe Manner
- Optimize processes and make targeted use of AI in management, teams, and day-to-day operations
- Establish an internal AI community and share knowledge throughout the company
- Actively Fulfilling the Role of AI Champion—Visible, Effective, and Forward-Looking
Who is the AI Champion training program designed for?
This continuing education program is ideal for:
- Employees who want to develop AI expertise
- Executives and managers who integrate AI into teams and departments
- Project managers who are responsible for or are developing AI initiatives
- Change managers, HR teams, and organizational developers
- Companies that want to establish internal AI champions
Eligibility Requirements for the AI Champion Training Program
There are no specific requirements—an openness to AI applications, a willingness to learn, and a desire to drive AI forward within the organization are sufficient.
About Us as a Training Provider for the AI Champion Continuing Education Program
We are a management consulting firm with over 20 years of experience in digital transformation, leadership development, and new technologies. Our AI Champion training program combines in-depth knowledge with practical implementation to help companies harness the potential of artificial intelligence in a sustainable way. We support organizations in safely implementing AI, building internal expertise, and ensuring their future-readiness through strong AI champions.
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Your Trainers – Experts in AI Champion Training
Helen is a Principal Consultant with over 15 years of experience in transformation, leadership, and the implementation of new technologies in companies. She knows how to convey complex AI topics in a clear, structured, and practical way—using clear examples from real-world projects. Executives value her ability to combine technological trends with effective leadership, thereby empowering participants to confidently apply AI within their own areas of responsibility.
Michael has many years of expertise in data management, business intelligence, and the practical application of modern AI tools. He presents material in a clear, precise, and hands-on manner—ideal for anyone who wants not only to understand AI but also to use it productively. With his in-depth technical expertise and clear approach, he translates concepts into concrete applications and demonstrates how AI tools can have a measurable impact within a company.
Celina is an organizational developer, change expert, and certified Scrum Master with extensive experience in transformation processes. She focuses on the human side of AI implementation: communication, team dynamics, and change management. With her dialogue-oriented and practical approach, she empowers participants to confidently navigate AI-driven changes and guide teams smoothly through new ways of working.
Request a no-obligation
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- Strategic: AI Role Models, Champion Programs, Transformation Architecture
- Secure: Ethics, Governance, Data Protection, and AI Use Compliant with the EU AI Act
- Proven in Practice: Over 20 Years of Experience in Leadership Development & Digital Transformation
- Measurable: Focus on Adoption, Application Skills, Team Maturity, and Transfer to Practice
TISAX and ISO certification apply only to the Munich location
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TISAX and ISO certification apply only to the Munich location
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FAQ – AI Champion Training
Because AI adoption is not purely a technical project, but rather a cultural, organizational, and strategic transformation. AI champions act as advocates, interpreters, and supporters for teams—they understand the tools, processes, and risks, and help embed AI responsibly and effectively within the organization. Without internal champions, AI initiatives often remain isolated, slow, or ineffective.
No—the training is deliberately designed so that no IT or programming knowledge is required. We cover the most important fundamentals of AI, demonstrate how the tools work, and provide hands-on practice. What matters most is an open mind, a willingness to learn, and a desire to actively drive AI forward within your organization.
You can use AI tools safely, identify and evaluate use cases, create AI-powered workflows, craft prompts with confidence, guide teams through change, and implement governance mechanisms. You know exactly how to use AI responsibly, safely, and strategically—and how to build internal AI expertise for the long term.
Very practical. Each module includes exercises based on real-world business scenarios: from prompting to AI automation, decision support, analysis, and change management. Participants develop their own use cases, create prompts for their leadership situations, and design AI workflows that can be applied directly in their day-to-day work.
Yes—we offer fully customized in-house solutions tailored to your systems, processes, data environments, industry requirements, and corporate culture. We can integrate your specific use cases, tools, role profiles, and challenges. This ensures that the training is as relevant as possible and immediately effective.
We outline clear guidelines, oversight principles, approval processes, data protection mechanisms, and ethical guidelines for the use of AI. Participants will learn how to identify and manage risks such as bias, hallucinations, or misinterpretations—and how to reliably implement governance and compliance (GDPR, EU AI Act).
Leadership plays a central role—which is why we provide tools and routines for AI-supported communication, decision-making frameworks, team leadership, and change management. Leaders learn how to effectively integrate AI, empower teams, and foster a culture of safety, openness, and a willingness to learn.
Through specific frameworks, prioritization methods (e.g., impact-effort matrix), business case templates, pilot structures, and project guidelines. Participants gain the know-how to launch their first AI projects in a low-risk and effective manner—including performance measurement and governance.
By establishing learning-oriented routines, communities of practice, and internal knowledge-sharing formats, AI Champions help participants learn how to empower colleagues, reduce uncertainty, and establish AI as a tool that strengthens teams rather than unsettling them. Sustainability is achieved through continuous development rather than a one-time implementation.
Through clearly defined roles, autonomy, continuous learning, follow-up sessions, and embedding AI leadership in the organization, processes, and culture. We show how companies strategically deploy AI champions—in projects, teams, transformation programs, and governance structures.
Both. Individuals can build AI expertise and act as change agents. Entire teams, on the other hand, benefit from shared routines, a common understanding, and faster scaling. Many companies start with pilot groups and then gradually expand to other areas.