You analyze digital changes, manage them using appropriate change frameworks, and embed them sustainably within the organization through data and communication.
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 offered on a full-time or part-time basis—with fixed class times and live instruction.
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.
| Training programTraining | Date | Date/Duration | Model | |
|---|---|---|---|---|
| 09.11.2026 |
09.11.2026
6 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
12 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
10–11 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
10–11 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
10–11 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
4–5 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
9–10 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
8–9 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
16–17 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
7–8 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
14–15 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
11–12 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
23–24 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
10–11 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
21–22 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
3–4 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
7–8 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
4–5 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
8–9 months
Part-time
|
Part-time | Apply | |
| 09.11.2026 |
09.11.2026
6–7 months
Full-time
|
Full-time | Apply | |
| 09.11.2026 |
09.11.2026
12–13 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
6 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
12 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
10–11 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
10–11 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
5–6 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
10–11 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
4–5 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
9–10 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
8–9 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
16–17 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
7–8 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
14–15 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
11–12 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
23–24 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
10–11 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
21–22 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
3–4 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
7–8 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
4–5 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
8–9 months
Part-time
|
Part-time | Apply | |
| 23.11.2026 |
23.11.2026
6–7 months
Full-time
|
Full-time | Apply | |
| 23.11.2026 |
23.11.2026
12–13 months
Part-time
|
Part-time | Apply |
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