From brains to brilliance
Develop practical skills in Data Science or Machine Learning through hands-on projects, peer-to-peer learning and expert guidance.
Shape the future with advanced artificial intelligence skills.
In the AI Academy, you learn to turn data into insights and build intelligent systems. This structured programme builds on your existing knowledge of Python, mathematics and statistics. You then move into your chosen specialisation: Data Science, to work with data from preparation to analysis, or Machine Learning, to develop and evaluate predictive models.
Your programme at a glance
- Duration: 7 months at 40 hours per week or 14 months at 20 hours per week
- Learning format: Online project-based learning combined with regular on-site sessions
- Next cohort: April 2027
- Applications open: 15 November 2026
- Application deadline: 15 March 2027
- Programme language: English
- Tuition fee: €500
Both specialisations follow the same duration and weekly workload. Learning combines independent project work with scheduled activities, collaboration and deadlines.
Through hands-on projects and peer-to-peer learning with guidance from industry experts, you explore ideas, solve problems with other participants and apply AI to practical challenges. Whether you want to deepen your expertise or move towards a career such as a data scientist or machine learning specialist, you gain practical experience and build a portfolio of projects that demonstrate what you can do.
Getting started
Do you have the foundations to begin?
To join the AI Academy, you should already have some knowledge of mathematics, statistics and Python programming. The common core builds on this knowledge, preparing you to specialise in Data Science or Machine Learning.
Need to strengthen your skills first?
The DLH Academy also offers preparatory resources to help you refresh and strengthen the knowledge and skills required for admission and successful participation in the training programme.
The DLH catalogue offers online and on-site preparatory courses to help you strengthen your skills before the admission test. These courses may not cover every assessed topic, so use the assessment preview to guide your preparation.
On-Site Preparatory Course (Coming Soon)
Explore the preparatory courses in the ; DLH catalogue or contact academy@dlh.lu for guidance.
How to apply
When applications open, create a separate account on the Academy admission platform. You can use the same email address as your DLH account.
Once your account is created, you can access online resources and quizzes to prepare for the on-site test.
Test skills with the Mock Test
- On-site test: Demonstrate your knowledge and practical skills. You can retake the test once, with further preparation if needed.
- What to expect for the exam:
- 2 hours : Math Quiz + Python project
- The exam is closed-book, and computers will be provided.
- Individual interview: After passing the test, discuss your background, motivation and preferred specialisation with the Academy team.
Admission depends on your test results, interview and available places.
Curriculum
The Intensive Track runs for 7 months and is based on a weekly time commitment of 40 hours, with two mandatory days on site each week. If you choose to pursue the programme through the Flexible Track, it runs for 14 months at 20 hours per week, with one mandatory on-site session per month.
Common Core Programme
Build the technical foundation every AI practitioner needs, covering Python programming, essential mathematics, and data skills.
Main topics
- Software Foundations: Command-line tools, version control, and development environments.
- Python Programming: Syntax, data structures, object-oriented programming, and file handling.
- Mathematical Foundations: Linear algebra and probability.
- Data Manipulation and Visualisation: Working with tabular data and creating charts.
Choose your Specialisation
Data Science Specialisation
Develop the skills to transform data into insights and build AI-powered solutions using established libraries and frameworks.
Main topics
- Data Handling: data collection, exploration, cleaning and preparation.
- Classical Machine Learning: supervised and unsupervised learning, and model interpretability.
- Deep Learning: neural network architectures, model training and evaluation.
- Advanced Deep Learning: image classification, object detection, text processing, large language models and transfer learning.
Machine Learning Specialisation
Understand how AI works from the inside by building its core models from scratch.
Main topics
- Math: advanced linear algebra, calculus and probability theory.
- Supervised and Unsupervised Learning: classical algorithms.
- Deep Learning Basics: designing and training neural networks.
- Computer Vision: convolutional neural networks and transfer learning.
- Sequence and Generative Modelling
- Reinforcement Learning: value-based and policy-based methods.
Capstone Project
The capstone project is the culmination of your specialisation, designed to showcase your skills in real-world applications. It is primarily driven by your own idea, and may also be developed in collaboration with an industry partner. Capstone project examples include:
- Build an assistant that answers questions from a company's internal documents, combining a large
- language model with document retrieval.
- Detect and count objects in real-time video, for example to monitor occupancy, traffic or safety on a
- site.
- Detect fraudulent or unusual financial transactions with machine learning and anomaly detection.
- Train a generative model to create synthetic data that protects privacy or enriches a small dataset.
- Train a reinforcement learning agent to optimise decisions, such as energy use in a building or
- resource allocation.
FAQ
Any questions?
We’ve gathered the most common questions to help you understand how our Academies work and what you can expect from our programmes.
No. Your main residence must already be in the Greater Region when you apply. This includes Luxembourg, the Grand Est region of France, Saarland and Rhineland-Palatinate in Germany, and Wallonia in Belgium. You may be asked for proof of residence under the DLH Terms and Conditions.
You can apply if you are 18 or over and your main residence is in the Greater Region. Each Academy has its own technical prerequisites, listed in the Getting started section of its page.
If you need to strengthen your skills before the admission test, you can use the preparation resources for your chosen Academy, attend on-site preparatory sessions or take courses from the DLH catalogue.
Yes, provided you can meet the weekly workload and attend the mandatory on-site sessions. If you are working, you must choose the part-time format. If you are already studying, check that the requirements of your chosen Academy fit your timetable before applying.
The €500 fee covers the full programme, including certification exam fees where applicable.
The tuition fee is 500€ per Academy. Specific reductions may apply for job seekers registered with the Luxembourg Employment Agency (ADEM); please contact the ADEM training department at: service.formation@adem.etat.lu to check your eligibility.
No. Enrolment in an Academy does not provide a basis for a Luxembourg long-stay student visa. The Academies offer professional training. The student visa route requires eligible full-time studies leading to a higher education degree or diploma.
No. Completing an Academy programme does not in itself make you eligible for this permit. Among other conditions, student applicants must have earned a qualifying Master’s degree or doctorate in Luxembourg. See Guichet.lu’s guidance on residence after studies for the full requirements.
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The future belongs to those who create it.
Gain the skills, guidance, and confidence to thrive in tomorrow’s most exciting and promising fields. Registrations open on November 15th for the next cohort starting in April 2027.