Lifelong Learning Program

we are an education program for professionals

We provide training and coaching to non-academic professionals who need to work with AI in their daily lives

For Policymakers & Journalists

What impact does AI have on society and ethics?

We can help you formulate your own opinion by explaining to you what AI is and sharing with you in-depth information on applications of today. We can also show you the projected role of humans in the future development of AI technology. 

Business person

For CEOs & Tech Investors

What value can AI bring to a business?

We can help you establish your niche by drafting a roadmap specific to your operations and anticipative of tech trends. We have the tools to assess the AI maturity of your company objectively, trace out its market potential and identify obstacles in your future business development.

Data scientist

For Data Scientists, Architects & Developers

How do I implement AI into my project concretely?

If you need in-depth technical help, we can help you implement algorithms, perform data analysis and verify the scientific rigour of your AI architecture.

Slide “It was very interesting for a non-expert like me. I learned a lot about the science behind AI. I also appreciated a lot the style and interactivity of the training (videos, polls, ...)” Telenet Employee Slide “I am working as financial assistant and have no knowledge of AI. The course therefore was very interesting to me also because the tutor gave good and practical examples and showed pros and cons of AI which is in social media controversially discussed." European Commission employee Slide “Very fine team!” Philippe Van Impe, Founder of DigitYser Slide “Good teacher, pleasant to follow online.” Telenet Employee Slide “It was very interesting for a non-expert like me. I learned a lot about the science behind AI. I also appreciated a lot the style and interactivity of the training (videos, polls, ...)” Telenet Employee

Our offer

Conceptual understanding
A new way of
6-week trainings

Introductory Lecture

The objective of this talk is to give a brief intro on the topic of AI. Together with you, we will demystify AI and build a shared base-level understanding of the technology within your organisation. Inspiring industry examples will be given on the possibilities and limits of AI. Special attention will be given to the role of humans in creating the technology and products, and where they outperform computers. No technical background knowledge is needed to follow this lecture.

Difficulty level : Beginner
Duration : 40 minutes
Location : on premise/ online Indicative
Price* : 500€

Tailor-Made Seminar + Q&A

This is a one to two-hour-long talk to do a deep dive on an area of AI. The specific topic and technical level of this talk will be customised to the needs of the participants from your organisation. They will also be agreed upon beforehand with you. Additionally, examples from your sector and a 20-minute Q&A are included in this talk.

Available topics for this talk:

  • AI Demystified: What is AI? How does it work? What are opportunities and challenges? What are the trends?
  • Legal Aspects of AI: Introduction to legal frameworks and issues.
  • Introducing AI in my organisation: Is your organisation ready for AI? What skills do you need to acquire? What solutions are available in the market? How to scope and organise an AI project and manage risk?
  • Technology walk-of-fame / AI tech drive: Overview of technologies, explained to non-technical audience, with success stories. We will introduce Deep learning, machine learning, Reinforcement Learning, Natural Language Processing (NLP), Recommender Systems, Logic, Search, Clustering, Bayesian Inference, Graph algorithms, Emergence & Multi-agent systems and Data mining at a conceptual level.
  • AI applications: Overview of AI technology with examples and challenges in domain verticals. One can choose between: AI in education / AI in marketing / AI and creativity / AI in robotics / AI in cybersecurity.
  • Human vs Machine: Where do machines outperform humans? What makes humans so unique? What are challenges of AI, and how can humans and machines complement each other?
  • Show me the data: In this seminar we will dive deeper into the role of data. We will discuss how to define objectives, touch on data governance, management, operations, visualisation and representation.
  • History & roots of AI: AI is an intrinsically interdisciplinary field. We will introduce its roots, discuss landmark papers, big ideas and philosophy behind AI.

Difficulty level: Beginner
Duration: 1 – 2 hours
Location: on premise/ online/ AIXC
Indicative Price*: 2000€
The seminars can be delivered at the AI Experience Centre (AIXC) on our campus for an extra €1000 euros. Two demonstrations of relevant AI lab projects are included in this case.

Hands-On Technical Training

This training is an intensive 6-week program for groups of max. 12 people. It is centred around concrete use-cases in different industries (FinTech, marketing, hospitality, web & media, games, etc). A technical background is required for this training.
The learning outcome for participants will be one of the following :

Implement recommender systems, implement machine learning algorithms, perform time series prediction, build decision support-systems using reinforcement learning agents, implement multi-agent algorithms in concrete use-cases.

Difficulty level: For people with basic Python programming skills
Duration: 6 weeks
Location: AIXC
Indicative Price*: 10.000€ per group.

Tutorials for your technical staff

Tutorials are introductions to one specific technology in AI each time (see below). They are a combination of theory lectures and hands-on exercises. The capacity for this class is max. 5 people. A technical background is required for this training.

    The following topics are currently available for tutorials:

  • Planning, graphs & search algorithms: Despite its maturity, graph & state-space search algorithms remain a very powerful paradigm to approach problem-solving by computers. As such, it is still widely used, though not always visibly, in games, routeplanning, and for the optimization of operations. In this tutorial, we’ll cover uninformed search algorithms like depth-first and breadth-first, as well as informed search algorithms based on heuristics. Examples will be given to develop the learner’s ability to identify the best approach and design appropriate heuristics. We will also discuss related graph & planning algorithms.
  • Natural Language Processing: In this tutorial, we will introduce the most important concepts and methods from Natural Language Processing and Information Retrieval. We will cover parsing, indexing techniques, semantic representations like vector spaces and word embeddings, query expansion and algorithms like classification, clustering and topic modelling. The above techniques will be applied and illustrated using examples from different domains such as document classification, search or chatbots.
  • Data mining: In the early 90’s, during the second AI winter, many AI techniques were rebranded as data mining or knowledge discovery in databases (KDD). These methods, successfully applied in many businesses like retail and science, formed the basis of many data-driven evolutions that are now part of the “Machine Learning” hype. In this tutorial, we will cover the CRISP-DM data mining process, and several techniques, including clustering, anomaly detection, summarisation/visualisation, and association rule learning, and frequent itemset mining.
  • Logic and constraint programming: Many tasks in Artificial Intelligence require reasoning over human-understandable symbols. This tutorial will introduce the main symbolic representation of knowledge, being logic, and explain how reasoning using formal logic functions. Also, the topic of constraint programming will be introduced, with a particular focus on the translation of business problems into formalised descriptions that can be solved using so-called advanced AI logic / constraint solvers.
  • Recommender systems: Recommender systems are one of the big success stories of AI. In this session you will learn about content-based user/item based and utility-based systems. Matrix Factorization, context-aware systems, collaborative filtering, hybrid architectures and evaluation techniques will be explained in detail. Though they seem simple in theory, recommender systems are hard to implement in practice. To get a feel of the complexity, we will complement theory with exercises on realistic datasets

Difficulty level: For people with basic Python programming skills and a CS/EE degree.
Duration: 2 days
Location: AIXC
Indicative Price*: 5000€ for two days

Research in residence

This offer is specifically for data scientists and AI Engineers working in R&D. For half a day (4 hours), they are allowed a backstage pass in the lab, where they will be able to ask a researcher from the lab all their questions about a specific solution. The researcher will assist them in going through the phases of hypothesis, experimentation and conclusion. If there is a skill gap, the researcher will give a speed training on the missing skill and provide reading material to follow-up (e.g. algorithmic programming).

Difficulty level: Professional
Duration: half day (4 hours)
Location: AI Lab
Indicative Price*: 1200€

Consulting Call

If you are in need of an expert opinion about Artificial Intelligence, we offer consulting services. This service is mostly targeted to executives and middle-management professionals.
The format is one-on-one teleconferencing calls, between an AI researcher from the lab and yourself. The question must be asked at least 3 days before, to allow the researcher to prepare a detailed and nuanced answer.

Difficulty level: /
Duration: /
Location: online
Indicative Price*: 450€/hour if prepared, 250€ if spontaneous.

*: All prices are exclusive VAT. Several of the sessions above can be extended to a full day session, where more advanced topics can be taught.

training venue

AI Experience Center (AIXC)

All our trainings take place either at the AI Experience Center (AIXC) or on-premise. It is a dedicated space that showcases more than 20 AI demos and projects, and is located on our Etterbeek campus in Brussels.

It purpose is to demystify and inspire through contact. The AIXC can also be booked for demo visits, during which you can interact with actual AI technology,

Please visit the AIXC website to learn more



1 – Demystify
“If it’s not killer robots, what is AI?


3 – Develop
Let’s start your project together.

2 – Discover
What can I do with all the techniques and tools of AI?
What are the key points to consider?


4 – Coach
Let’s figure out a solution for your bottlenecks together.

Who are we?

We are the Lifelong Learning Program of the AI Lab.

We are composed of AI professors, researchers and coordinators. Our international team consists of 70+ AI researchers. We have experience in a wide variety of domains using AI, ranging from energy management, manufacturing, to hospitality, art and health.

Mission and Vision

Our purpose is to create a world with engaged, open-minded and honest thinkers.
To do that, we provide training and coaching to non-academic professionals who need to work with AI in their daily lives. In short, we transmit to you a 360° understanding of topics that interest you in Artificial Intelligence. This way, you have the freedom to choose your preferred relationship with AI. Should you buy a product? Should you hire an expert? Which expert? Should you even apply AI to your product? With the objective information that we supply to you, you will be able to answer these questions yourself and make the best choices for you on your AI-journey.

Empathy - Creativity - Truth

We believe that empathy is crucial to our research. Since AI examines the laws of intelligence, we must empathise with different intelligences to study them.
One of the core values of the VUB, that is transmitted to the lab is the belief in creativity. We invest a lot of energy into art, music, asking the weird questions. Without creativity, those eureka moments in research cannot happen.
Truth, of course, is the grounding element to all of our activities. Without anchoring ourselves in it, there is no moving forward. AI has phenomenal potential to give this world, when used the right way. If used wrongly, it can absolutely create disastrous – or worse – inefficient solutions.

Practical Information

Every training is specific to you/your company, so will be scheduled individually. We operate all year round.

At the AI Experience Center or on premise.

Physical class or online class (interactive webinar).
Please contact us with your questions via the “Contact” grid below, and we will set up a call to discuss what trainings will be best for you.

For general introduction : Prof. Johan Loeckx.
If you require more in-depth knowledge on a topic that matches the research topic of one of our in-lab researchers, they will be your trainer.

Our Lab

The Artificial Intelligence Lab ( aka “AI Lab”) of the Vrije Universiteit Brussel is the first-established research lab for A.I. in Continental Europe.
Founded in 1983 by Prof. Dr. Luc Steels, it is internationally recognized for its research expertise in reinforcement learning, language and computational creativity. Its active research team has made major contributions to business, combining fundamental and applied research to enterprise. It is included in Reuters “Top 100: Europe’s Most Innovative Universities 2019″ ranking and has alumni in MIT, Sony, Prowler and DeepMind.

Learn more about the AI Lab




    an introductory lecturea tailor-made seminara 6-week hands-on technical trainingtwo-day scientific tutorialvisit to the AI Experience Centreother (specify below)


    “Just as every MBA student learns about accounting and its salience to business operations without wanting to become a professional accountant, managers need to do the same with AI and the related technology and knowledge stack.” 

    Marco Iansiti & Karim R. LakhaniCompeting in the Age of AI