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Learn to analyze change processes in a structured way, apply frameworks appropriately to specific situations, and engage with stakeholders in a manner tailored to their needs. AI, data-driven management, and communication are central themes throughout the course.
Change management is the structured support of change processes within organizations, from analysis and planning through to implementation. When combined with digital transformation, the goal is to design technology and AI implementations in such a way that they are truly integrated into everyday work.
This training is designed for professionals and practitioners who are actively involved in or coordinate change projects but do not have formal training in change management. You have professional experience and are responsible for digitalization or AI initiatives within your team or department.
You understand change, analyze transformation, apply change models, and plan based on data.
You explain the core concepts of change, transformation, and transition, and distinguish change management from project and business analysis. Using the scenario of a HealthTech scale-up, you identify drivers of change and typical causes of failure.
You define digital transformation and distinguish it from IT projects. You will apply a gap analysis, assess AI potential, and identify seven typical pitfalls in AI implementations.
You apply five core frameworks (Lewin, Kotter, ADKAR, Cynefin, Senge), understand their interrelationships, and select the appropriate model for your change context based on sound reasoning.
You define change-specific KPIs, distinguish between leading and lagging indicators, and interpret adoption metrics. You analyze an employee survey in Excel and formulate a business case.
You shape culture, address resistance, communicate in a way that resonates with your audience, and ensure success.
You identify cultural artifacts and derive values. You evaluate four enablement dimensions for AI readiness and identify three key levers for cultural change.
You identify four types of resistance and their causes using real-world examples. You understand psychological safety as a leadership lever and are familiar with co-determination rights regarding digital systems.
You will systematically identify stakeholders, classify them in the Power-Interest Matrix, and design a communication roadmap. You will apply three operational change leadership practices to your daily work.
You will establish benefits realization as a process, recognize typical regression patterns after go-live, and develop a crisis response plan for five common change crises.
You integrate six core components (stakeholders, framework, interventions, KPIs, benefits, communication) and present your project to a simulated steering committee.
Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.
Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.
Completely online and full or part-time, you can train in the way that works best for you.
Our data experts are always in contact and offer support and motivation.
After completing the training program, you will receive our recognized certificate to prove your skills.
Our Career Service supports you with advice and coaching when you start your data job.
Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:
We will help you choose the right training program for your data career and advise you on the path to funding.
Free of charge, without obligation and simply over the phone.
Our training courses are developed and produced by our own team of data scientists and subject matter experts, who provide you as a participant with personal mentoring during the course. We not only focus on realistic and practical content, but also ensure that all your questions are answered in a personal exchange and thus guarantee your learning success.
Thanks to our "learning-by-doing" principle, you will learn in our interactive learning environment with realistic data sets and real business cases from the industry, preparing you perfectly for a successful career start in a data job.
With StackFuel, you can rely on a market leader with Germany's most innovative learning platform to develop your data skills in a practical way. In certified training programs, you learn online, flexibly and with 80 % of practical content.
This will enable you to make a lateral entry as a data analyst or data scientist and learn how to use data and the basics of artificial intelligence professionally. Your new data career starts with your online training at StackFuel.
AI and data have become an integral part of our (professional) lives. Those who understand how to analyze data, use AI tools efficiently, and leverage AI applications possess in-demand skills for the workplace of tomorrow. That’s exactly why people with AI and data skills are particularly valuable to companies—and why new career opportunities are opening up in many industries and professional fields.
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