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AI Engineering - Data Science and Machine Learning Bootcamp
Next seat available
May 27, 2025
You want to learn AI engineering? Perfect! Here you'll get all the skills you need to build effective machine learning systems in the real world in hands-on projects.
Course Content
All content at a glance
Become a full-stack software developer - 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.
Keyfacts
- Full-time: 6 months (Mon - Fri, 9h - 18h)
- Participants: approximately 15
- Coaches: 2 per Bootcamp
- Location: Berlin
- Course language: English
- Certificates: Data Science Certificate and Machine Learning Engineering Certificate
Our coaches
Anastasia Mikheeva
Data Science Coach
Tech Stack
Python
FastAPI
Docker
MLOps
dbt
Tensorflow
SQL
Prefect
Grafana
Prometheus
Scikit
Pandas
+435
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
✅ 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.
✅ By the way: Remote bootcamp participants can also use our Hamburg campus to learn and exchange ideas together. Just let us know in advance - we look forward to seeing you!
May | 27th May – 19th Aug ‘25 | Full-Time | Remote | English | Secure seat |
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Curriculum
This is what you learn in our AI Engineering - Data Science und Machine Learning Bootcamp
Your Entry into the AI Data Science World: Coding and Software Engineering
Python
Git
Github
Unix
Command line
This is where your data science journey begins! You’ll get hands-on with Python, the go-to language for data science. You’ll also master Git and GitHub, essential tools for managing your code and collaborating with others.
Never used the command line before? No problem! We’ll walk you through the basics of Unix commands, helping you navigate files, automate tasks, and streamline your daily workflows. This phase is your foundation for everything ahead – from data analysis to machine learning!
Your Deep Dive into Data Analysis: Exploratory Data Analysis (EDA)
SQL
Visualization
Pandas
Data preparation
Now things get interesting! In this phase, you’ll learn how to analyze and prepare data efficiently. With Pandas, you’ll tackle large datasets, clean them, and reshape them to find meaningful insights.
We’ll also cover SQL, a crucial skill for any data professional. You’ll learn how to query databases to extract the information you need to make data-driven decisions. And of course, we’ll help you create beautiful visualizations using Matplotlib and Seaborn to showcase your results.
This phase wraps up with a hands-on project where you’ll conduct a fictional business analysis – just like you would in a real job!
Your Introduction to Machine Learning
Regression
Supervised Learning
Model Evaluation
Classification
Machine learning sounds complicated? We’ll make it simple! In this phase, you’ll dive into Supervised Learning and understand how machines learn from data.
You’ll explore regression and classification models, two essential tools in the data scientist’s toolkit. Whether you’re predicting future trends or categorizing data, these models are at the core of modern data science.
We’ll also show you how to evaluate your models using metrics like precision, accuracy, and F1 score. By the end of this phase, you’ll have the skills to build and assess your own machine learning project.
Deep Dive: Neural Networks and Deep Learning
Artifical Neural Networks
Time series
NLP
Recommender Systems
Ready to take it up a notch? In this phase, you’ll explore Deep Learning algorithms, starting with neural networks. You’ll learn how they work and how they can process images, text, and more.
A key highlight is Natural Language Processing (NLP) – how machines understand and process human language. From chatbots to voice assistants, this is where things get really exciting!
We’ll also introduce you to Recommender Systems, the tools behind platforms like Netflix and Spotify.
From Theory to Practice: Machine Learning Engineering
APIs
Docker
Cloud Deployments
MLOps
Now it’s time to get hands-on! In this phase, you’ll learn how to bring your machine learning models into production. You’ll create APIs and containerize your models with Docker.
We’ll also cover cloud deployment, teaching you how to make your solutions scalable and secure in a real-world environment.
The goal? Your model shouldn’t just work – it should run reliably in production!
Finale: Your Own Machine Learning Project
End-to-End Deployment
Model Monitoring
Capstone project
Project Work
To wrap up your bootcamp, you’ll put everything you’ve learned into practice with a Capstone Project. You’ll develop your own machine learning solution, deploy it, and ensure it stays reliable over time.From data preparation to model monitoring – this is as real-world as it gets. The perfect way to kick-start your career!
Our partner companies
Our location
Study at our on-site campus
Need a change of scenery or do you prefer to learn together with others? Then simply use our campus in Hamburg by arrangement!
Simple and affordable
12 weeks UX/UI Design Bootcamp starting from 8.500 €*
*for self-paying persons
Education must be affordable. Check out all the financing options now.
Education voucher
Agentur für ArbeitPay directly
No problemPayment by the employer
Re- & Upskilling
information content
The most important info for download
Everything you need to know about our Machine Learning Engineering training in one pdf: Content, pricing, financing, and all the details about the application process. Check! ✅
FAQ
Really good questions, helpful answers
You still have questions about the training, the prices, the financing, etc.? Then take a look here or contact us directly.
It's designed for all entry levels. There're no diploma or technical prerequisites required for this course, whatsoever. The only cost is an OpenAI subscription during the training, which is €18 per month.
However, if you’re using a work computer, we recommend checking with your IT department to ensure you have access to Slack and Zoom.
Pricing depends on your chosen financing option.
Self-payers can access 57 hours of 100% online learning, including 14 hours of live group support, for just €1,900.
You additionally got financing options available through programs like the Agentur für Arbeit and Jobcenter. Reach out to us, and we’ll help you find the right financing model:
Your skills will be assessed through a combination of activities. Such include individual quizzes that are automatically graded on our learning platform, a final capstone project evaluated by a coach, and oral presentations covering both technical and non-technical topics.
The following additional tools are available for your training:
Instant messaging to communicate with the coach and the rest of your cohort
A videoconferencing tool to join the various mentoring sessions
It’s for anyone who wants to be part of a cohort of tech enthusiasts with the same ambition: to succeed, excel, and grow together. 🚀
Studying in a cohort is all about collaboration. You'll progress alongside your peers, and autonomously build your hard skills while also sharpening your teamwork abilities and soft skills. The best part: You're never doing it alone!
Important note: This course isn’t designed for career changers, like people that intent moving to Data Science. In that case, we recommend the 3-month Data Scientist Bootcamp instead.
Just the basics. A stable internet connection and a computer. We commend you to have a camera and microphone access as well.
Your earning potential is high, considering AI professionals are in demand. Starting salaries range from €65,000 to €70,000 / year, depending on your experience, company size, and location.
Senior AI experts earn well above entry-level. Your pay can increase significantly, as you build your expertise in additional areas like machine learning and deep learning. The opportunities in this fast-growing field are endless.
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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