Data Science & AI Training
- 19 Weeks Full-time
- 760 Teaching Units
- Online
- 100% Fundable
Practice-Oriented
Launch Your Career
The Labour Market Needs AI Specialists
PwC forecasts that AI will boost Germany’s GDP by 11.3% – a potential of €430 billion by 2030.
PwC forecasts that AI will boost Germany's GDP by 11.3% – a potential of €430 billion by 2030.
70% of German companies are already using AI or plan to do so in the near future (BITKOM).
70% of German tech companies struggle to fill open IT positions.
Graduates qualify for:
- Machine Learning Engineer
- Data Scientist
- AI Specialist
- Data Analyst
- NLP Engineer
Course Modules
6 practical modules – 19 weeks / 760 teaching units
MODULE 01
Data Analytics & Python Fundamentals
- Python programming for Data Science
- Pandas, NumPy & data cleaning
- Data structures & variables
- First analyses & visualisations
MODULE 02
Machine Learning
- Supervised & Unsupervised Learning
- Feature engineering
- Regression, classification & clustering
- Model validation & hyperparameter tuning
MODULE 03
Deep Learning Architectures
- TensorFlow & PyTorch
- Recurrent Neural Networks
- Convolutional Neural Networks
- Transfer learning & application to structured data
MODULE 04
Natural Language Processing (NLP)
- Text classification & sentiment analysis
- Prompt Engineering
- Large Language Models (LLMs)
- NLP applications in practice
MODULE 05
Advanced NLP, Deployment & MLOps
- Advanced NLP techniques
- MLOps pipelines
- Model deployment & API integration
- Automation of data transformation
MODULE 06
Capstone Project & Final Phase
- Project work & presentation
- Networking & application strategies
- CV & portfolio
- Interview preparation
Industries That Need AI
Manufacturing
AI optimises production lines, quality control and supply chains.
Automotive
Autonomous vehicles and AI-supported manufacturing processes.
Healthcare
AI assists with diagnoses, personalised treatments and process optimisation.
Finance
Fraud detection, risk management and customer service automation.
Cybersecurity
AI detects threats and automates response systems.
Telecommunications
AI optimises networks and customer service.
Learning Outcomes
After completing the programme, participants will be able to:
- Analyse, clean and prepare data for ML models
- Independently develop and evaluate machine learning models
- Apply deep learning architectures for NLP and Computer Vision
- Use generative AI models in business contexts
- Make data-driven decisions using statistical methods
- Implement AI projects from concept to production readiness
- Present results professionally to stakeholders
Who is this course for?
- Job seekers interested in Data Science & AI
- Career changers without IT background
- Professionals looking to re-orient their career
- Specialists wanting to specialise in AI
Admission Requirements
- Basic digital competencies
- Motivation for professional development
- German language skills at least level A2
- No programming knowledge required.
FAQ
Do I need programming knowledge?
How does the teaching work?
Can the course be funded?
What certificate do I receive?
Launch Your AI Career in 19 Weeks
From programming basics to hands-on AI applications – 100% fundable via Bildungsgutschein.