Expert in AI
or a related technology?

Share your expertise and train the professionals and researchers of tomorrow

Do you have expertise in AI, or a related technology such as machine learning or data science? Are you a researcher, PhD, research assistant, lector, postdoc…Do you enjoy sharing your knowledge? Are you looking for valuable teaching experience? Help us create future-proof professionals and researchers.

Be part of our expert team and create the professionals and researchers of tomorrow. We are looking for every researcher, PhD, postdoc or lector who has expertise in (an aspect) of AI and likes to share his/her expertise.

We are looking for experts in these courses:

These courses are all underway and can use your expertise. Click on the link for more information, when there is no link the summary will follow at a further stage in the development. You are very welcome to contact the point of contact to tell us how you can contribute.

Typically we are looking for contribution in the first and second stages of development: Market Research & Development. During the Programming and Communication status, the course content should be defined.

TitleTentative start date (bold if date is fixed)Tentative subjectTarget audienceDevelopment StatusLanguagePoint of contact
AI & industrie: Human-machine interactionnov. 2021Kennis over interactie mens-machine uitbreiden, overzicht van applicaties bieden & inzicht in onderzoek1. AnalyserenStefaan
AI for digital humanities: Digital text analysismrt. 2022Researchers in literature & cultural studies1. AnalyserenEnglishLaura
AI voor Huisartsen – Module A – wearables, apps en rol AI – webinarjan. 2022General Practitioners1. AnalyserenNederlandsFemke
Vlaamse AI staten-generaalapr. 2022laagdrempelige introductie tot AI in governmentFlemish governments1. AnalyserenRaphaël
AI in ziekenhuizenmrt. 2022Inspiratie over AI in zorg & testimonials uit het werkveld.Hospital management2. ProgrammerenNederlandsJeroen
AI voor Huisartsen – Module B – Buzzwords in AI en gezondheidszorg – virtuele encyclopediedec. 2021Overzicht geven van de relevantie AI-terminologie in de gezondheidszorg.General Practitioners2. ProgrammerenNederlandsJeroen
Introductiecursus Artificiële Intelligentienov. 2021Professionals & researchers with no prior knowledge2. ProgrammerenNederlandsStefaan
Introductiecursus Data Sciencenov. 2021Professionals & researchers with no prior knowledge2. ProgrammerenNederlandsJeroen
Introductiecursus Machine Learningnov. 2021Professionals & researchers with no prior knowledge2. ProgrammerenNederlandsFemke
Fairness and Bias in NLPfeb. 2022State of the art-technieken voor het tegengaan of aanpakken van bias bij NLP-systemenResearchers in AI & Data Science2. ProgrammerenEnglishLaura
Adversarial Learningnov. 2021Generative adversarial networks & adversarial machine learning, theorie & praktische tipsProfessionals in machine learning3. OrganiserenEnglishCedric
AI & industrie: Occupational Health & Safetymrt. 2022Overzicht van bestaande cases en toepassingen: human-robot interaction, collaborative workspace safety, computer vision en wearablesManagers & engineers responsible for maintenance, production and infrastructure3. OrganiserenStefaan
AI for digital humanities: Cultural heritagenov. 2021Overzicht van (het belang van) AI-toepassingen voor de sector, geen technische details.
Aandacht voor het ontsluiten van bestaand cultureel erfgoed, maar ook voor het ‘creëren’ van nieuw cultureel erfgoed.
Professionals & researchers in the cultural sector3. OrganiserenNederlandsStefaan
Explainable en trustworthy AIfeb. 2022White-box models, global vs local Interpretability, saliency mapping, hybrid AI, robustness, online & transfer learning, privacy, use casesTechnical professionals3. OrganiserenFemke
Introduction to AI and Machine Learning for Biomedical Researchokt. 2021see course page
(this course is in high demand so we are already considering a second edition)
Researchers in biomedical research4. CommunicerenEnglishJeroen
Meer tijd voor mensenwerk. Ontdek hoe RPA en AI, repetitieve ‘rule-based’ taken van je team kan overnemen.nov. 2021Mogelijkheden van AI en RPA (Robitic Proces Automation) om repetitieve taken bij lokale besturen over te nemen.Local municipalities4. CommunicerenNederlandsRaphaël
Sense & Sensibility of AI Seminariereeksmei 2021 (monthly)see course page
(we are looking for additional lecturers)
Researchers in AI4. CommunicerenEnglishLaura
VAIA Presents…weeklysee presentation agendaeverybody4. CommunicerenEnglishIsabelle

In our basic course on AI we want to give a first practical experience with AI, positioning it between inspiration and classic extensive training courses.

We organize the courses around three specific topics at two different levels:

  1. Artficial Intelligence (AI)
  2. Machine Learning (ML)
  3. Data Science (DS)

Level 1: ‘Let’s get started with AI/ML/DS’

In the courses ‘Starting with Artificial Intelligence’, ‘Starting with Machine Learning’ and ‘Starting with Data Science’, participants receive theory and hands-on exercises in approximately 1 day, possibly supplemented with some self-study and a small test. This short course is very accessible and requires a limited amount of time. It must be able to appeal to a wide audience, but goes beyond inspiring. It should function as a springboard to access more comprehensive training.

Level 2: ‘Core AI/ML/DS’

After a participant has made the initial jump, a broader introduction is offered, going in-depth. Yet, this training is substantially shorter than a postgraduate degree. This ‘Core AI’, ‘Core ML’, and ‘Core DS’ comprises approximately 4-5 days of lessons with possible self-study, of which the hands-on experience is key. After this training, participants can continue with self-study, more long-term training, or on-the-job training.

For who?

The target audience of our basic AI course consists of adults who already know what AI is, are motivated to go along with it and would like to take their first steps.

The requirements for previous knowledge will depend on the exact content of the course, which we will determine together with the teachers.

Do you want to know more, or have a question, send an e-mail to: or call at +32 (0)56 24 60 79.

We are working on a training where we will address how wearables, apps and AI can be used to support the health sector. Our primary goal is to give a seminar to general practitioners, but in the future we want to extend this training or seminar series and target healthcare providers in general. To this end we are creating an overview of which wearables and healthcare apps are currently used in the FLAIR program.

Are you using apps and wearables in your research to support healthcare providers? Let us know so we can create an overview and see how we can fit your research in this training! 

Do you want to help us out? Leave us your contact information via the form below and we’ll get in touch.

Do you want to know more, or have a question, send an e-mail to:

In October we will start an inspirational seminar series on AI, showcasing examples and insights in AI originating in our extensive network. It is our goal to inspire and attract new people to the world of AI.

These seminars are short (1 hour max.), free and broadcasted to a wide audience, online or in a hybrid format. They will take place weekly on Tuesdays at noon.

We will follow 4 tracks:

  1. Inspirational track – big speakers, big insights
  2. Scientific track – researchers explain about their latest developments in AI
  3. Industry track – inspiring examples out of industry, small and large
  4. Policy track – insights and developments in the legal, ethical and policy aspects of AI

Would you like to share your insights with a wide and open audience in a short amount of time? Are you an inspirational speaker? Leave us your details!

Do you want to know more, or have a question, send an e-mail to:

Is your research exciting and interesting but in another domain? Do not hesitate to add your own expertise and we will evaluate whether and how we can fit it into one of our courses. Ideas about new trainings and new audiences are also very welcome. So don’t hesitate to contact us and ask questions, supply ideas or inspire us!

Your first point of contact: Stefaan Gruyaert –

Join our team of experts

Provide us with your contact details and we will connect with you later to join our teaching crews and/or editorial team. Obviously, we will not use your contact details for any other purpose than stated here.


Contact Flemish AI Academy

  • +32 (0)16 28 10 12