
Your bootcamp
AI Engineering - Data Science and Machine Learning Training
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Course Content
All content at a glance
Keyfacts
- Full-time: 6 months (Mon - Fri, 9h - 18h)
- Participants: approximately 15
- Locations: remote (live online)
- Coaches: 2 per Bootcamp
- Course language: English
- Certificates: Data Science Certificate and Machine Learning Engineering Certificate
Our coaches

Data Science Coach
Tech Stack
Become an AI Engineer - at the neue fische bootcamp
Experience a unique bootcamp that takes you from the fundamentals of Data Science to the development, deployment, and monitoring of data products. Learn everything you need from our dedicated coaches to kickstart your career in Data Science, and AI- and Machine Learning Engineering. This combined program enables you to seamlessly advance your skills: from comprehensive Data Science foundations to specialized Machine Learning Engineering expertise. Each phase is designed to provide you with solid knowledge, practical applications, and real-world projects.
In the first 12 weeks, you will dive deep into the world of Data Science: gaining expertise in data analysis, Python programming, data visualization, statistics, Big Data, machine learning algorithms, and deep learning. The following 4 weeks are dedicated to your Capstone phase, where you will develop a comprehensive end-to-end data project to apply your knowledge and showcase your new skills.
Afterward, you will specialize intensively in Machine Learning Engineering during an additional 4 weeks. In this phase, you will learn about Data engineering, ETL and ELT pipelines, analytics engineering with DBT, batch and stream processing, Software engineering, model deployment and monitoring. This phase also concludes with a 4-week Capstone project, where you will present your competencies in a final project.
At the end, you will earn two separate certificates: Data Science Certificate and Machine Learning Engineering Certificate.
Your hands-on training for a future-proof career
This 24-week program combines solid theory with practical content, preparing you optimally for your career launch. You will work on real-world projects, receive personalized feedback, and master tools like Python, TensorFlow, Scikit-learn, SQL, DBT, Prefect, Prometheus, Grafana, Pandas, and Jupyter Notebooks. In both Capstone projects, you will demonstrate your capabilities and build a portfolio that captures the attention of leading companies.
Thanks to our career coaching, portfolio tips, and targeted application support, you will be fully equipped to succeed in the world of Data Science and Machine Learning.





Learning in the neue fische bootcamp is the **mixture of practice and theory that would also be an enrichment for many universities. All of our coaches know exactly what skills a future data scientist needs to establish themselves.**
Starting dates
The next dates: AI Engineering - Data Science and Machine Learning Training
✅ The AI Engineering - Data Science and Machine Learning programme is now also approved for educational leave. You can find more information on the requirements and how to apply for this here.
Nov | 16th Nov – 3rd Aug ‘27 | Full-Time | Remote | English | Secure seat |
|---|---|---|---|---|---|
Jan | 18th Jan – 17th Sep ‘27 | Full-Time | Remote | English | Secure seat |
Feb | 15th Feb – 15th Oct ‘27 | Full-Time | Berlin | English | Secure seat |
This is what you learn in our AI Engineering - Data Science and Machine Learning Engineering Bootcamp
Coding & Software Engineering for Data
Lay a strong foundation in the technical tools and programming skills that data scientists need to manipulate data, build workflows, and communicate effectively.
Coding & Software Engineering for Data
Lay a strong foundation in the technical tools and programming skills that data scientists need to manipulate data, build workflows, and communicate effectively.
Where our students work
FAQ
Really good questions, helpful answers
This bootcamp is designed for learners of all experience levels, although a basic level of programming knowledge will help you get the most out of the course. To succeed, you'll also need the time and commitment to dedicate yourself to the 8-month program, as well as the ambition to learn the entire machine learning lifecycle—from building models to deploying and monitoring them in production.
The program runs Monday to Friday, 9:00–18:30. This is a full-time commitment equivalent in time to a full-time job. You should expect an immersive, fast-paced learning curve that balances theory and daily hands-on application.
Upon successfully completing the bootcamp, you will receive two certificates from neuefische that validate your specialized skill set: the Data Science Certificate and the Machine Learning Engineering Certificate.
Together, these certifications demonstrate your ability to work across the entire machine learning pipeline—from data analysis and foundational data science to building, deploying, and monitoring production-ready machine learning solutions.
Yes, absolutely. If you are currently unemployed, facing a potential layoff, or looking for a career change, the Agentur für Arbeit or Jobcenter can cover 100% of the bootcamp costs through an Education Voucher (Bildungsgutschein).
The process involves three steps: registering as a jobseeker with your local Agentur für Arbeit or Jobcenter, requesting our official training documentation (we provide this within one working day), and submitting the voucher application. Approval typically takes two to six weeks — cohort sizes are limited to approximately 15 participants, so starting early matters.
Additionally, we offer several alternative financing paths if you don't qualify for government funding, for example: Self-Payment & Installment Plans, Scholarships, Employer Sponsorship. Please find more details on our financing page.
You can join from anywhere in Germany! No matter whether you live in Berlin or Hamburg, Cologne or Düsseldorf, Hanover or Bremen, Leipzig or Dresden, or anywhere else, you can complete this bootcamp entirely online.
After the bootcamp, you can, for example, start out as a Machine Learning Engineer or Data Scientist.

What are you waiting for?
Our Student Admissions team is happy to talk with you, answer your questions, and advise you. Get in touch with us!
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