Learning library

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.

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.

Accompanying GenAI trainings 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.

Complementary

For all levels of experience

ChatGPT & Co - Basics of Generative AI

Use cases

Prompting

AI ethics

Understand the basics of generative AI and its possible applications in everyday life at beginner level:

Recognize use cases for language models
Use best practices for effective prompting
Discover possibilities beyond language processing
Considering ethical and legal challenges

Direct Data Analysis with ChatGPT

Data Analysis

Prompt Engineering

Privacy

Teach practical skills to use ChatGPT directly for data analysis tasks:

Take data protection requirements into account
Select suitable use cases
Designing prompts effectively
Prepare and cleanse data professionally
Secure handling of common data formats
Create meaningful reports

Data Analysis with ChatGPT Assistance

Code Generation

SQL Queries

Data visualization

Learn how to use ChatGPT effectively to support programming tasks, SQL queries and data visualization:

Debugging code using ChatGPT
Generate code using ChatGPT
Create SQL queries using ChatGPT
Design data visualizations with the help of ChatGPT

LLM-Driven Development for Machine Learning

Machine Learning

Feature Engineering

Model Deployment

Use Large Language Models (LLMs) to specifically support the development of a machine learning model:

Explaining models clearly
Generate artificial data sets
Carry out feature engineering
Using templates for data pipelines
Select suitable models
Systematically track experiments
Deploy models with AWS

Want to learn more AI skills?

AI is often based on technologies that have their origins in data science. Train to become a data scientist with StackFuel:

Your Advantages 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.

These companies train their employees with StackFuel:

Do you have any questions?

Find your training program with us and start your data career! Book a non-binding consultation now.

+8,000 graduates

92 % Completion rate

AZAV-certified

FAQ

What sets StackFuel apart from other training providers?

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.

Why is StackFuel the right choice for me?

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.

How can data skills help me to start a new career?

Data has become an integral part of our (professional) lives. In almost all areas, data helps you to better understand facts and make more precise decisions. Data skills are the key to being able to use and interpret data correctly. Even though you may not realize it, you work with, interact with and generate data every day.

This data is becoming increasingly important for companies and is the basis for decisions and business models, which makes data professionals incredibly important for companies.