Unlock your potential by becoming a Machine Learning Engineer

The Machine Learning Engineer program is designed for beginners, career switchers, and professionals who want to upskill in Machine Learning and Artificial Intelligence, either part-time or full-time.

A solid foundation in mathematics, especially statistics, linear algebra, and probability, is important. Initial experience in programming, ideally with Python, as well as a basic understanding of data analysis, is a plus.

Before starting, you will take an assessment test so we can evaluate your current level. This ensures the program matches your profile and career goals.

As the program is 100% online, you will need:

• a computer or laptop
• a stable internet connection
• a webcam for live masterclasses

Yes. Upon successful completion, you will receive recognized certifications that validate your skills in Machine Learning and strengthen your employability.

Thanks to our partnership with Université Paris Panthéon-Sorbonne, you will receive an academic certificate from an internationally recognized university.

You will also receive a Liora certificate confirming your practical Machine Learning Engineer skills, as well as module certificates after each completed module, ideal for your CV and LinkedIn.

The Machine Learning Engineer program can be financed in several ways:

• Bildungsgutschein (training voucher): If you are unemployed, job-seeking, or at risk of unemployment, you may be eligible for full funding through the Employment Agency or Jobcenter. In this case, 100% of the costs are covered.
• Installment payments: You can also self-finance the program with flexible payment plans to fit your situation.
• Employer funding: Many companies support their employees’ upskilling. The Qualification Opportunities Act can also be used for this purpose.

Our advisory team will guide you in choosing the best funding option.

The program is based on a hybrid learning model that combines flexibility with hands-on support:

• 80% practice-based self-study on an interactive platform with real ML use cases
• 20% live masterclasses via video with experienced Machine Learning experts

You can complete the program:

• full-time as a bootcamp, or
• part-time alongside your job

This allows you to balance your training with your professional and personal life.

Machine Learning Engineers are responsible for developing, deploying, and maintaining ML models. Typical tasks include:

• Developing, training, and optimizing machine learning models
• Selecting appropriate algorithms and model architectures
• Data preparation and feature engineering
• Deploying models into production environments
• Monitoring, maintaining, and improving models
• Collaborating with data scientists, software engineers, and cloud teams

Machine Learning Engineers are among the highest-paid tech profiles in Germany. Salary prospects are attractive:

• Entry-level: approx. €60,000 – €70,000 gross per year
• Average salary: around €80,000 gross per year
• With experience: often €90,000 – €110,000 gross per year, or more with specialization (e.g. Deep Learning, MLOps, GenAI)

Actual salary depends on experience, specialization, industry, and location. Due to high demand for AI expertise, this role offers excellent long-term career prospects.