Biomedical AI Bootcamp

The Biomedical AI Bootcamp is an intensive six‑week professional education program focused on the application of artificial intelligence in medical and biomedical research. The bootcamp combines advanced AI education with a structured grant proposal development pipeline and is supported by senior medical and industry leaders.

The program is built around four integrated educational pillars: AI Modeling, Data Engineering, Impact & Leadership, and Medical Sciences. This multidisciplinary structure enables participants to develop strong technical competencies while maintaining a clear focus on medical relevance, leadership, and societal impact.

Participants can expect a study load of approximately 40 hours of classroom-based instruction per week, supplemented by an average of one to two hours of self-study per week. The bootcamp is offered at the level of Professional Education and is designed for participants seeking advanced, practice-oriented training.

The primary goal of the Biomedical AI Bootcamp is to enable participants to develop world‑class AI algorithms, gain in‑depth knowledge of state‑of‑the‑art AI methodologies, and successfully organize funding to realize innovative, data‑driven medical research projects.

The bootcamp is intended for clinician scientists and biomedical researchers with a university-level education, starting at Master’s or PhD level. exquAIro does not operate a formal exemptions or prior learning recognition policy. The rights and obligations of participants are defined in the general terms and conditions.

In addition to these general terms, specific conditions imposed by the institute or by relevant authorities may apply to the course and the study agreement. These conditions are further detailed in the cancellation policy.

All training materials are included in the program and are provided digitally through the exquAIro Learning Management System. Upon successful completion of the required assessments, participants can obtain a Bootcamp Badge as well as topic-specific badges.

The course includes approximately ten examinations, each allowing one retake. If a second attempt is required, this is followed by an oral examination. The program does not prepare participants for internal school exams or external industry- or state-recognized central examinations.

Download the Terms and conditions exquAIro trainings.

Quality & Recognition

exquAIro is registered in the Dutch Central Register for Short Vocational Education (CRKBO). This registration confirms that our organization meets the quality requirements for professional education and training.

Learning by doing

The education of exquAIro is centered around a hands-on approach that allows participants to directly translate theory into practice. Rather than listening to a lecture, participants are constantly challenged to learn by doing. They apply – and reinforce – their learnings in a wide range of assignments, from presentations to puzzles to coding cases.

The courses provide real-life cases that come directly from the medical and pharmaceutical field. This allows participants to apply AI techniques on unique datasets that resemble the data they (can) work with within their own organization. Data analysis and programming are key elements in these cases.

Building upon the GAIN Learning Method

ExquAIro builds upon the learning method of GAIN (the Global Artificial Intelligence Network). This method is based on 15+ years of experience in AI & Data Analytics training. GAIN uses a modular setup with standardized and accredited trainings, delivered by trainers with extensive experience in designing and building AI solutions. The modular and scalable setup of the program enables organizations to build their own in-house AI academy. The GAIN method is already adopted and scaled by blue-chip companies, such as Heineken, eBay and Nike, at a global scale. This standard in AI education now becomes available for a medical audience.