
Education voucher at hand? Step into the fast lane: Contact us
Contact usAI & Machine Learning Engineering Bootcamp



(within 1 year)

Choose Your Entry Point. Own Your Outcome.
Our curriculum is built in distinct modules, allowing you to enter and exit based on your current expertise and career goals. Select the specific track that matches your experience level:
1. The Full AI Engineer Track (8 months): Our comprehensive flagship program. This is the complete end-to-end journey for those committed to mastering both the data foundations and advanced engineering in one continuous enrollment.
2. The AI & MLE Bridge (4 months): Designed for active Data Scientists. Skip the fundamentals and jump straight into advanced Machine Learning and deployment.
3. The Data Science & AI Core (4 months): Perfect for beginners. This standalone course covers the essential first half of the route, taking you from zero to a data-ready professional.
Course Content
All content at a glance
Keyfacts
- Full-Time: 16 weeks (Mo – Fr, 09:00 am – 6:30 pm)
- Participants: approx. 15
- Locations: Remote (live online)
- Coaches: 2 per bootcamp
- Course language: English
- Completion: Machine Learning Engineering Certificate
- Future job: Machine Learning Engineer
- Expected salary: 62.000€ - 90.000€
- 100% financing: for unemployed & job seekers
- You'll get a Claude Pro subscription during the bootcamp
Our coaches

Head Data Science and Machine Learning Engineering
Tech Stack
Download tech stacks
Who Is the AI & Machine Learning Engineering Suitable For?
➡️ For Data Engineers, Data Scientists, and Software Engineers who want to accelerate their transition into Machine Learning Engineering or AI Engineering.
➡️ It doesn't matter if you live in Berlin, Hamburg, North Rhine-Westphalia, Bavaria, Hesse or any other place in Germany, you can do this bootcamp online.
Benefits of the AI & Machine Learning Engineering
➡️ Production-Ready Focus: Transitions you from data science basics to advanced MLOps, CI/CD for ML, and high-performance model serving.
➡️ End-to-End AI Mastery: Gain the capability to develop, train, and deploy full-scale machine learning models, generative AI, and advanced AI systems.
➡️ Tool Deployment: Build hands-on expertise with industry-standard technologies, including Python, SQL, TensorFlow, Docker, and MLOps frameworks.
Why AI Machine Learning Engineering?
This program balances rigorous engineering principles with the latest ML frameworks, ensuring you are ready to take on the role of a “Builder” in any tech team.
Our partner companies
Starting dates
The next dates: AI & Machine Learning Engineering Bootcamp
Aug | 31st Aug – 8th Jan ‘27 | Full-Time | Remote | English | Secure seat |
|---|---|---|---|---|---|
Nov | 2nd Nov – 15th Mar ‘27 | Full-Time | Remote | German | Secure seat |
Nov | 2nd Nov – 15th Mar ‘27 | Full-Time | Remote | English | Secure seat |
This is what you learn in our AI & MLE Bootcamp
Curriculum
Software Engineering
In the first phase students will become familiar with software engineering practices and how they relate to data science. The objective of the first week is to write better code when working with data science projects.
In order to achieve this we will cover software engineering in Python (writing programs, working with git and object-oriented programming). Then we will show how to bridge the gap between the usual data science workflow and production-ready code.
Curriculum
Software Engineering
In the first phase students will become familiar with software engineering practices and how they relate to data science. The objective of the first week is to write better code when working with data science projects.
In order to achieve this we will cover software engineering in Python (writing programs, working with git and object-oriented programming). Then we will show how to bridge the gap between the usual data science workflow and production-ready code.
Simple and affordable
Education must be affordable. Check out all the financing options now.
Education must be affordable. And for everyone. That's why we offer three ways how you can finance your bootcamp with us, guaranteed and very easy.

These steps are important to take the course
Register as a jobseeker early
In order to receive your education voucher for your retraining from the employment agency, the Jobcenter or the Labour Office, you should register as a jobseeker at an early stage. It is therefore very important that you first make an appointment with the relevant office. It's best to do it now!
Get your educational offer from us
The next step on the way to your IT training voucher is quick and easy: Contact us! We will create an official training offer for you that you can then submit to the employment agency, the Jobcenter or the employment office.
Apply for the training voucher
Now it's down to the nitty-gritty: With the training offer we have created, you now go back to your responsible office and apply for your training voucher. As soon as it is approved, you can start your new career with us. We look forward to seeing you!

Career Service
From Bootcamp to Your Next Role
Our career service helps you turn your new skills into your next role with CV reviews, LinkedIn feedback, and interview coaching.
➡️ Structured job search support through our career program.
➡️ Weekly Q&A support and feedback in our Discord channels.
➡️ Community access for networking.
FAQ
Really good questions, helpful answers
This AI & Machine Learning Engineering Bootcamp is designed for Data Engineers, Data Scientists, and Software Engineers who want to accelerate their transition into Machine Learning Engineering or AI Engineering.
No advanced experience in AI is required to join the bootcamp. However, coding knowledge is necessary to keep up with the course and work on the projects.
After successfully completing the bootcamp, you will be able to develop, train, and deploy machine learning models, generative AI, and AI systems. You will gain hands-on experience with tools and technologies such as Python, SQL, TensorFlow, Docker, and MLOps frameworks, as well as agentic coding tools like Claude Code and GitHub Copilot.
Throughout the program, you will complete 4 mini projects, 3 medium projects, and a final capstone project, giving you multiple opportunities to gain marketable experience.
Graduates of the bootcamp can pursue several in-demand roles in the AI and data industry. Typical career paths include: Machine Learning Engineer, AI Engineer.These roles exist across many industries such as finance, healthcare, e-commerce, and technology. With the skills gained during the bootcamp and the portfolio you build, you will be well prepared to start your career in the growing AI job market.
The application process is simple. First, you contact our admissions team to receive detailed information about the bootcamp as well as an individual training offer. If you plan to finance the program through an education voucher (Bildungsgutschein), you can submit this offer to the Employment Agency or Jobcenter.
Once your voucher or another form of funding has been approved, you can secure your place in the bootcamp and begin your training. Our team supports you throughout the entire process and is available to assist with any questions.

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!






