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  • TRAINING

GenAI trainings.

Learn how to use generative AI (GenAI) efficiently for data analysis and code development - free of charge & in addition to your training program.

Full/Part time
Complementary
German
GenAI and AI training courses for companies in Germany.

Why are AI skills important?

Generative AI tools such as LLMs can already perform many tasks in the data analysis process and write code for them. To be successful in the data industry in the long term, you need the ability to understand LLMs comprehensively and use them professionally. You should consciously train this if you want to master the lateral entry.

How do you learn to work with AI at StackFuel?

As part of the StackFuel learning library, you can voluntarily complete free AI training courses to accompany your training. You will find the trainings in StackFuel's learning library, which will provide you with additional resources for learning during your training. It will be available to you for the entire duration of your training.

GenAI Training Courses at StackFuel

In four training sessions, you will first learn the basics of generative AI (GenAI) and LLMs. You will then learn from AI experts how you can use them to analyze data directly, support advanced analyses and develop ML models.

In this training you will learn:

Basics of Generative AI
Direct Data Analysis with LLMs
LLM-Driven Development for Machine Learning
  • Understanding the Basics of GenAI & Its Applications in Everyday Life
  • Using ChatGPT for Data Analysis
  • ChatGPT as a Tool for Programming Tasks, SQL Queries, and Data Visualizations
  • Development of Machine Learning Models with the Support of LLMs
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Table of contents

1
ChatGPT & Co - Basics of Generative AI
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Understand the basics of generative AI and its everyday applications at a beginner’s level:

  • Identify use cases for language models
  • Apply best practices for effective prompting
  • Discover possibilities beyond natural language processing
  • Consider ethical and legal challenges

2
Direct Data Analysis with ChatGPT
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Teach practical skills for using ChatGPT directly in data analysis tasks:

  • Consider data protection requirements
  • Select appropriate use cases
  • Design effective prompts
  • Prepare and clean data properly
  • Handle common data formats confidently
  • Create meaningful reports

3
Data Analysis with ChatGPT Assistance
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Learn how to use ChatGPT effectively to assist with programming tasks, SQL queries, and data visualizations:

  • Debug code using ChatGPT
  • Generate code using ChatGPT
  • Create SQL queries using ChatGPT
  • Design data visualizations using ChatGPT

4
LLM-Driven Development for Machine Learning
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Use Large Language Models (LLMs) to provide targeted support for developing a machine learning model:

  • Explain models in an understandable way
  • Generate synthetic datasets
  • Perform feature engineering
  • Use templates for data pipelines
  • Select suitable models
  • Systematically track experiments
  • Deploy models with AWS
This training is part of the training programs:
In this training you will learn:
Basics of Generative AI
Direct Data Analysis with LLMs
LLM-Driven Development for Machine Learning
  • Understanding the Basics of GenAI & Its Applications in Everyday Life
  • Using ChatGPT for Data Analysis
  • ChatGPT as a Tool for Programming Tasks, SQL Queries, and Data Visualizations
  • Development of Machine Learning Models with the Support of LLMs

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.

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
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
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
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."
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."
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
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
Yeonhee Kim
Participant
BI Analyst Continuing Education
"The live sessions were helpful, as was the support from the mentors."
Maxi
Participant
BI Analyst Continuing Education
"The mentoring team is always available, and the schedule is flexible."
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."
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."
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."
Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."
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
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
Ulrike
Participant
Data Scientist Further Training
"I found the format very helpful because it conveys a lot of knowledge."
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."
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

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

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.
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