Turn data into decisions. Learn how to clean and analyse datasets, build machine learning models, and explore deep learning and NLP—step by step, with mentor feedback. You’ll practise the full workflow (from exploration to deployment) and finish with a portfolio that shows what you can do, not just what you know.
A project-based curriculum that covers analytics, machine learning and modern AI. Learn Python and SQL, work with real data, and build models for computer vision and NLP—available full-time in 12 weeks or part-time in 24 weeks for learners in Luxembourg (CET/CEST).
SQL, Python, Jupyter Notebook, Git/GitHub, linear algebra, probability and statistics
Data analysis, preparation, visualisation, and exploration
Supervised/unsupervised learning, model improvement, pipelines, and classification
Neural networks, CNN architectures, autoencoders, data augmentation, TensorFlow, Keras and scikit-learn
NLP fundamentals, RNN/LSTM, attention mechanisms, transformers, and chatbot building
You don’t need a formal computer science background to get started, but comfort with basic programming ideas will help. We provide pre-work and early guidance so you can build the fundamentals and then move into real Data Science & AI workflows. If you’re joining from Luxembourg, sessions are scheduled in CET/CEST for a smoother learning routine.
Show what you can do with tangible results. Throughout the course, you’ll complete hands-on projects based on realistic scenarios. You’ll finish with a portfolio you can share internally at work, with clients, or during interviews.
Get support from industry professionals as you learn. Mentors provide actionable feedback on your work, help you unblock faster, and share real-world context so your skills translate beyond the course content.
Stay focused with a clear, structured path. Each course follows a roadmap with milestones and deliverables, so you always know what you’re building next and why it matters for your professional growth.
Learning is only useful if you can apply it with confidence. We support you with portfolio guidance, interview practice, and professional positioning—whether your goal is internal progression, a more technical role, or new opportunities in Luxembourg’s international job market.
Make learning fit your budget. Explore discounts, payment options, and cohort pricing for groups. If you’re employed in Luxembourg, you may also want to check whether your employer offers a professional development budget or training support—many teams do, especially for digital skills.
