StackFuel is now part of Multiverse!
Contact ✕
Request advice Book a consultation appointment Call directly
+49 30 544533420 Monday-Friday, 09:00-18:00
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
  • TRAINING

Change management and digital transformation.

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.

Full/Part time
2 weeks (full-time)
Beginner-friendly
German
AI data transformation manager with modern technology and digital innovation.

What is change management?

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.

Who is this training program suitable for?

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.

For which professional groups is the training relevant?

This training is relevant across all industries. It is particularly suitable for the following roles:

  • As a Digital Enabler, you will coordinate digitalization and AI initiatives across departments
  • As a project manager for transformation projects, you will oversee the change management aspect in addition to the traditional implementation
  • As a team lead, you prepare your team for new tools and ways of working and help overcome resistance
  • As an AI specialist with implementation responsibilities, you will roll out AI solutions in a way that ensures they are accepted and used by the team
Read more
Collapse

In this training you will learn:

Change Frameworks
AI Adoption
Stakeholder Communication
  • Clearly distinguish between the key terms "change," "transformation," and "transition," and differentiate them from project and business analysis
  • Analyze drivers of change and maturity levels, and systematically assess AI potential
  • Apply five key frameworks (Lewin, Kotter, ADKAR, Cynefin, Senge) and select them for your own context based on sound reasoning
  • Define change-specific KPIs and distinguish between leading and lagging indicators
  • Identify cultural artifacts and evaluate four dimensions of AI readiness
  • Identify types of resistance and address them with psychological confidence and leadership tools
  • Classify stakeholders in a power-interest matrix and design communication roadmaps tailored to specific target groups
  • Establishing benefits realization as a process and identifying typical patterns of return after go-live
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
Understanding and Planning Digital Transformation
toggle

You understand change, analyze transformation, apply change models, and plan based on data.

Chapter 1: Understanding Change, Drivers, Context, Transformation

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.

Chapter 2: Classifying Transformation, Maturity Levels, Gap Analysis, and AI Potential

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.

Chapter 3: Applying Change Models, from Lewin to Cynefin

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.

Chapter 4: Planning Change, Management, Data, and KPIs

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.

2
Implementing and embedding change
toggle

You shape culture, address resistance, communicate in a way that resonates with your audience, and ensure success.

Chapter 1: Shaping Culture, AI Adoption, and Mindset

You identify cultural artifacts and derive values. You evaluate four enablement dimensions for AI readiness and identify three key levers for cultural change.

Chapter 2: Understanding and Addressing Resistance

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.

Chapter 3: Reaching Stakeholders, Communication, and Change Leadership

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.

Chapter 4: Securing Success, Evaluation, Benefits, and Embedding

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.

Chapter 5: Planning the Transfer, Project, and Closure

You integrate six core components (stakeholders, framework, interventions, KPIs, benefits, communication) and present your project to a simulated steering committee.

This training is part of the training programs:
In this training you will learn:
Change Frameworks
AI Adoption
Stakeholder Communication
  • Clearly distinguish between the key terms "change," "transformation," and "transition," and differentiate them from project and business analysis
  • Analyze drivers of change and maturity levels, and systematically assess AI potential
  • Apply five key frameworks (Lewin, Kotter, ADKAR, Cynefin, Senge) and select them for your own context based on sound reasoning
  • Define change-specific KPIs and distinguish between leading and lagging indicators
  • Identify cultural artifacts and evaluate four dimensions of AI readiness
  • Identify types of resistance and address them with psychological confidence and leadership tools
  • Classify stakeholders in a power-interest matrix and design communication roadmaps tailored to specific target groups
  • Establishing benefits realization as a process and identifying typical patterns of return after go-live

Your benefits with StackFuel.

100 % Financed

Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.

80 % Practical content

Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.

Flexible

Completely online and full or part-time, you can train in the way that works best for you.

Supported by mentors

Our data experts are always in contact and offer support and motivation.

Final certificate

After completing the training program, you will receive our recognized certificate to prove your skills.

Career Service included

Our Career Service supports you with advice and coaching when you start your data job.

The next
start dates.
Training programTraining Date Date/Duration Model
19.10.2026
19.10.2026 4 months Full-time
Full-time Apply
19.10.2026
19.10.2026 8 months Part-time
Part-time Apply
26.10.2026
26.10.2026 4 months Full-time
Full-time Apply
26.10.2026
26.10.2026 8 months Part-time
Part-time Apply
The next
start dates.
Training
Start dates
AI & Data Transformation Manager AI & Data Transformation Manager 19.10.26 +1 more
  • 19.10.2026
    • Full-time - 4 months
    • Part-time - 8 months
  • 26.10.2026
    • Full-time - 4 months
    • Part-time - 8 months
Apply

Here's what our participants have to say:.

Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:

Amirhossein Rahimi
Data Scientist
zaplinace GmbH
"The practical, project-oriented approach makes the courses very interesting and has made my learning progress much easier."
Data Scientist Training Program
Georges Kanaan
Participants
Data Analyst Further Training
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Daniel Hermann
Geodata analyst
GI-CONSULT GmbH
"The competent and friendly lecturers and the examples of content made me enjoy data-driven programming. The certificates (from StackFuel) are a real plus on my CV - and the skills anyway!"
Data Scientist Training Program
Ayu Distler
Participant
Python Programmer Training
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Philipp Gehrlein
Participants
AI Automation Expert
"I learned a lot of new and practical things during the training that I can now apply directly in my everyday life and in a professional setting."
Beatrix Bauer
Junior Financial Data Engineer
Telefonica Germany
"With StackFuel, I was able to learn at a time that suits me, at my own pace and in a place where I feel comfortable."
Data Scientist Training Program
Ninel Kloss
Participant
BI Specialist, Data Analyst, Data Scientist
"During the course, I experienced a lot of positive emotions. The learning process was perfectly organized: there was a lot of important and interesting information, as well as varied and exciting assignments. Not everything I did was always easy for me, but it was always interesting and fun. A special thank you goes to the team of mentors. Whenever you need help, they’re there—patient and professional."
Lisa Ambrosi de Magistris Verzier
Data Analyst
Interone
"I particularly liked the well-structured curriculum and the clearly conveyed content. I now feel confident in using Python for data analysis without any previous knowledge. The dedicated career service was also a great support."
Data Analyst Training Program
Philipp Buthmann
Participants
Python Programmer
"The overall vibe was just always really great!"
Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."
Farbod Khiawi
Client Operations Consultant / Success Manager
AON
"What I liked best were the regular group sessions with participants and tutors. These were very exciting and beneficial for both learning and motivation."
Data Scientist Training Program
Dr. Pinar Toker
Data Scientist
Eraneos Analytics
"The hands-on, real-world problems at StackFuel helped me master data analysis techniques and Python programming. The focus [...] on industry-relevant skills gave me the confidence and know-how I needed for my job search."
Data Scientist Training Program
Ines Bulmahn
Participant
AI & Data Transformation Manager
"The course had a very strong practical component, and I was able to take a lot away from it."
Ulrike
Participant
Data Scientist Further Training
"I found the format very helpful because it conveys a lot of knowledge."
Yeonhee Kim
Participant
BI Analyst Continuing Education
"The live sessions were helpful, as was the support from the mentors."
Shahrouz
Participants
Continuing Education for AI Professionals
"The course was well-structured, practical, and explained clearly. The hands-on exercises with Excel, Word, and PowerPoint, as well as the methods for verifying the results, were particularly helpful."
Marco Fischer
Data Scientist
mexxon Group
"The intensive work with important Python libraries and the concepts and mathematical basics taught were very good preparation for my new job!"
Data Scientist Training Program
Sebastian Peter Piskalla
Participants
Continuing Education for AI Professionals
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Maxi
Participant
BI Analyst Continuing Education
"The mentoring team is always available, and the schedule is flexible."
Liudmila Litger
Data Analyst
Aviv Group (HomeToGo)
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Data Analyst Training Program

Get personal advice now.

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.

Smiling young man in black polo, professional and friendly profile portrait.
Professional portrait of a smiling businesswoman in a blazer, team leader, team photo, company profile.
Professional portrait of a smiling businesswoman with glasses and gray blazer.
Book consultation
+8,500 graduates
93 % Completion rate
AZAV-certified

FAQ

Our training programs are developed and produced by our in-house team of data scientists and subject matter experts, who provide you, as a participant, with personalized mentoring throughout the course. We not only focus on realistic and practical content, but also ensure through one-on-one interaction that all your questions are answered, thereby guaranteeing your learning success. Thanks to our “learning-by-doing“ approach, you’ll learn in our interactive learning environment using realistic datasets and real-world business cases from the industry, perfectly preparing you for a successful career start in a data-related role.
With StackFuel, you’re choosing a market leader with Germany’s most innovative learning platform to develop your data skills in a hands-on way. Through certified training programs, you’ll learn online, on your own schedule, with 80 % of practical content. This will help you successfully transition into a career as a data analyst or data scientist, and you’ll learn how to apply data and the fundamentals of artificial intelligence professionally. Your new career in data 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.
Book consultation