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Certificate Badge Symbol for award and quality seal.

AI specialist.

You'll learn how to use modern AI tools confidently in your day-to-day work, identify meaningful use cases in business processes, and automate individual work steps with AI.

Full/Part time
1 month (full-time)
Beginner-friendly
German
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What will you learn in this AI training?

In this AI training course, you’ll learn the basics of AI and prompt engineering, and practice using CustomGPTs to automate simple tasks. Using practical examples, you’ll learn to identify opportunities for using AI tools and build appropriate solutions—for example, to automate simple data analysis or content production.

Who is this training program suitable for?

This training is designed for beginners who want to use AI tools confidently and responsibly in their daily work. You don't need any relevant professional experience or programming skills. What's important is experience using computers and basic Office skills; an interest in digital tools and structured work is helpful.

For which professional groups is the training relevant?

Across all industries, AI skills are among the most important competencies of the future. This training is particularly well-suited for the following roles:

  • In office, administrative, and assistant roles, you automate recurring tasks using your own CustomGPTs
  • In marketing and communications, you use generative AI for text, images, and content creation
  • In data-related roles, you'll prepare data and automate simple data analyses
  • In specialized departments, you will identify opportunities for AI and implement solutions in compliance with data protection regulations

In this training you will learn:

Generative AI
Prompting
CustomGPT
  • What? You'll learn the basics of AI, generative AI, and effective prompting techniques; you'll conduct a thorough analysis of data and AI results; and you'll work with legal and ethical principles such as the GDPR, fairness, and bias.
  • What for? So that you can use AI applications responsibly in your day-to-day work and recognize where they provide real added value.
  • Practice: In the final project, you will develop your own AI tool (CustomGPT) and design a plan for its further development.
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
Fundamentals: Understanding Data and AI
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You’ll lay the foundation for working safely with AI, from data quality to the most important AI concepts.

Module 1: Understanding Data

You’ll learn to assess data quality, identify different types of data, and prepare data for simple analyses and visualizations. This will help you create a reliable foundation for AI results. In practice, you’ll clean up datasets, analyze data, and create charts.

Module 2: Understanding AI

You’ll understand basic terms and types of artificial intelligence, as well as typical machine learning algorithms, and assess the opportunities and limitations of AI. To do this, you’ll analyze small examples from everyday life.

2
Using Generative AI Safely and Responsibly
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You’ll learn about the capabilities of generative AI and how to use it responsibly and in compliance with regulations.

Module 3: Understanding and Using Generative AI

You’ll discover how language models (LLMs) generate, summarize, and translate text; how AI creates images and videos; and where the limitations lie—for example, with hallucinations and bias. In initial experiments, you’ll test typical applications in everyday office life.

Module 4: Understanding Legal and Ethical Considerations

You’ll learn the role that data protection (GDPR), the AI Regulation, fairness, transparency, and company-specific guidelines play in the responsible use of AI. Using case studies and checklists, you’ll learn how to work safely and responsibly.

3
Applying AI in Everyday Work
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You’ll apply AI strategically to business processes and develop your own AI tool.

Module 5: Deep Dive: Use Cases, Prompting, and CustomGPTs

You’ll explore practical applications of AI in typical office and business processes, analyze processes, and achieve more reliable results through advanced prompt engineering, master context, and personalization. In the process, you’ll iteratively optimize your prompts using various examples.

Module 6: Final Project and Outlook

You’ll apply your knowledge to your own AI project: from defining the problem to creating a prototype—such as a CustomGPT—and on to testing, refinement, and a demo. Finally, you’ll design your own development plan for your next steps in the field of AI.

In this training you will learn:
Generative AI
Prompting
CustomGPT
  • What? You'll learn the basics of AI, generative AI, and effective prompting techniques; you'll conduct a thorough analysis of data and AI results; and you'll work with legal and ethical principles such as the GDPR, fairness, and bias.
  • What for? So that you can use AI applications responsibly in your day-to-day work and recognize where they provide real added value.
  • Practice: In the final project, you will develop your own AI tool (CustomGPT) and design a plan for its further development.

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.

Predictable

Completely online and offered on a full-time or part-time basis—with fixed class times and live instruction.

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
Business Analyst – Change Management Business Analyst – Change Management Business Analysis & Process Analysis
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09.11.2026 6 months Full-time
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Business Analyst – Change Management Business Analyst – Change Management Business Analysis & Process Analysis
09.11.2026
09.11.2026 12 months Part-time
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09.11.2026
09.11.2026 5–6 months Full-time
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09.11.2026
09.11.2026 10–11 months Part-time
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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
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09.11.2026
09.11.2026 8–9 months Full-time
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09.11.2026
09.11.2026 16–17 months Part-time
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09.11.2026
09.11.2026 41 weeks Full-time
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09.11.2026
09.11.2026 82 weeks 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 8 weeks Full-time
Full-time Apply
09.11.2026
09.11.2026 16 weeks 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
Business Analyst – Change Management Business Analyst – Change Management Business Analysis & Process Analysis
23.11.2026
23.11.2026 6 months Full-time
Full-time Apply
Business Analyst – Change Management Business Analyst – Change Management Business Analysis & Process Analysis
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 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 41 weeks Full-time
Full-time Apply
23.11.2026
23.11.2026 82 weeks 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 8 weeks Full-time
Full-time Apply
23.11.2026
23.11.2026 16 weeks 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
The next
start dates.
Training
Start dates
Business Analyst – Change Management Business Analyst – Change ManagementBusiness Analysis & Process Analysis 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 6 months
    • Part-time - 12 months
  • 23.11.2026
    • Full-time - 6 months
    • Part-time - 12 months
Apply
BI Analyst – AI, Data, and Change Management BI Analyst – AI, Data, and Change ManagementBusiness Intelligence 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
  • 23.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
Apply
BI Analyst – Change Management BI Analyst – Change ManagementBusiness Intelligence 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
  • 23.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
Apply
Data Analyst – Change Management Data Analyst – Change ManagementData Analysis 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 8–9 months
    • Part-time - 16–17 months
  • 23.11.2026
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    • Part-time - 16–17 months
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Data Engineering Data Engineering 09.11.26 +1 more
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  • 23.11.2026
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    • Part-time - 82 weeks
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Data Scientist – Change Management Data Scientist – Change ManagementData Science 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 11–12 months
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  • 23.11.2026
    • Full-time - 11–12 months
    • Part-time - 23–24 months
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AI training AI training 09.11.26 +1 more
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  • 23.11.2026
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Project Management – Introduction to Change Management Project Management – Introduction to Change ManagementProject Management (Basics) 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 4–5 months
    • Part-time - 8–9 months
  • 23.11.2026
    • Full-time - 4–5 months
    • Part-time - 8–9 months
Apply
Project Management – Change Management Project Management – Change ManagementProject Management 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 6–7 months
    • Part-time - 12–13 months
  • 23.11.2026
    • Full-time - 6–7 months
    • Part-time - 12–13 months
Apply

Here's what our participants have to say:.

More than 8,000 graduates have already completed a training program in data and AI skills at StackFuel (a Multiverse Company). Here, some of them share their experiences:

Yeonhee Kim
Participant
BI Analyst Continuing Education
"The live sessions were helpful, as was the support from the mentors."
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
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."
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."
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
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
Michael
Participants
AI specialist
"The training was easy to follow and well-structured. The examples, in particular, helped me understand the material better."
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
Philipp Buthmann
Participants
Python Programmer
"The overall vibe was just always really great!"
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."
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."
Sandra Wilde
Participant
AI specialist
"I was particularly impressed by the timeliness and versatility of the course content, as well as the multimedia design."
Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."
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
Ulrike
Participant
Data Scientist Further Training
"I found the format very helpful because it conveys a lot of knowledge."
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
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."
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."
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."
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

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.

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+8,500 graduates
93 % Completion rate
AZAV-certified

FAQ

StackFuel’s AI Professional Training Program prepares you to use artificial intelligence confidently and responsibly in your daily work. You’ll learn the fundamentals of generative AI, build skills in prompt engineering, and develop your own CustomGPTs to automate common tasks.

In addition, our Career Service will help you develop your job application strategy so that you can effectively use your new AI skills to re-enter the workforce or take the next step in your career.

A German level B2 or above is required to take part in this training.
You do not need relevant professional experience or programming skills for this training program. What is important is experience using computers and basic knowledge of Microsoft Office. An interest in digital tools and structured work is helpful.

To get started, we will conduct an initial consultation with you to understand your individual abilities, find the best training program for you and inform you about your funding options through an education voucher if you still need one. Self-paying students will receive all the important information about course start dates and payment options.

After each module, you will receive a certificate documenting the AI skills you have acquired. You will complete the program with your own CustomGPT practical project, which you will develop independently and present to our mentoring team.

This process ensures that you can confidently apply all the relevant knowledge. Our mentoring team of data experts provides you with ongoing support through one-on-one interactions to help you successfully complete the training program.

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.