Artificial Intelligence (AI) is an essential tool for Europe to respond to global challenges and maintain technological sovereignty. Through its capacity to drive systemic transformation across critical sectors such as healthcare, energy, and manufacturing.
However, Europe has a significant shortage of skilled AI professionals, and if it is to remain competitive, resilient, and aligned with its values in the global AI landscape, it's vital that that talent gap is addressed as a matter of urgency.
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The EIT Deep Tech Talent Initiative was launched in 2022 with the goal of training one million people in deep tech by the end of 2025. When this initial goal is achieved, the Initiative, together with other European Institute of Innovation & Technology (EIT) projects, will add considerable value to the Union of Skills, particularly the STEM Education Action Plan that aims to improve skills in science, technology, engineering, and maths, promote STEM careers, attract more girls and women, and boost preparedness in the face of digital and clean-tech transitions, through the Initiative’s catalogue of training programmes, network of training providers, and funding opportunities for course creation.
By empowering and equipping the European workforce with cutting-edge skills, including those in AI and machine learning, to build a strong deep tech talent pool and fostering innovation, the EIT Deep Tech Talent Initiative is also helping to ensure that European industries remain at the forefront of global innovation, solidifying the region’s role as a leader in deep tech and securing its future in an increasingly competitive technology-driven world.
To date (April 2025), the Initiative has assembled a catalogue of nearly 200 courses and training programmes, which offer a great opportunity for professionals, students and pupils to improve their knowledge and expertise in their preferred deep tech areas of interest.
Currently, 37% of all the available courses in the EIT Deep Tech Talent catalogue are dedicated to Artificial Intelligence & Machine Learning, including big data, and cater to a range of ages and ability, from secondary school and undergraduates to professionals and life-long learners. The courses reporting the highest number of learners are:
JA Europe
◦ Junior Achievement Company Programme (AI) - aims to equip young people with the necessary skills to navigate the digital world and prepare them for the future of work.
◦ Junior Achievement Innovation Camp - an intense experience for the students to propose a solution within 24 hours, being given access to tools, information and resources.
Intel Corporation
◦ AI for Youth – empowers non-technical 8–19 year-olds with appropriate skillsets, mindset, toolsets, and opportunities to use technology impactfully and responsibly in the AI-fuelled world.
◦ AI for Future Workforce – to empower the future workforce with the necessary AI skills for employability, Intel provides over 225 hours of AI content, professional training for school faculties, and implementation guidance. The schools then use the programme to develop AI certificates, augment existing courses, or launch full AI associate degree programs for their students
HelixConnect Europe
◦ PreMETS – Digitalisation in Predictive Maintenance: Developing Digital Skills - crafted by experts from the PreMETS consortium, this course equips learners with the essential digital skills needed to effectively utilise data, understand various maintenance strategies, and explore cutting-edge technologies like Digital Twins, AR/VR, IoT, AI, and Machine Learning
MinnaLearn
◦ Elements of AI for Business - creates a common understanding of AI in organisations to identify AI-powered business opportunities
Kodluyoruz
◦ Hi-Kod - expand the perspectives of young people by providing career introductions and workshops in different fields including Mobile App Development, Data Science & Artificial Intelligence and Front-End Web Development, while helping them map out their career paths and become aware of opportunities in the field of technology.
Other Pledger organisations providing courses in AI and machine learning that are currently open include: CHOICE 31, Kyiv Academic University, Commercialization Reactor, Constructor Academy, Techlabs Rotterdam, TU Wien Academy for Continuing Education, EnginSoft Simulation Software Italia, Scientific Park of Lviv Polytechnic National University
If you are looking to skill, upskill, or reskill in AI and big data, join our talent community, browse our training catalogue, and enrol on one of our AI courses.