This section collates training opportunities on digital skills and emerging technologies from all around Europe. Find a range of online courses, professional trainings, and wider education programmes in various fields to build your skills further and thrive in an increasingly digital world.
Discover more suggestions
- Learn more about the fundamentals of Microsoft Azure with a series of free skill-building webinars organised by Microsoft.
- The Supervised Machine Learning: Regression and Classification course offered by DeepLearning.AI and Stanford Online equips participants with knowledge of machine learning concepts.
- Learn the basics of AI concepts and workflows with Simplilearn's free self-paced online course.
- eSkills Malta Foundation has been entrusted with a number of mandates relating to skilling, upskilling and reskilling mandates. The Foundation has the overall objective to increase digital skills. In line with this objective, the Foundation is...
- A new course for professionals in the agriculture, agtech, sustainability/climate change and food value chain sectors, who aspire to be pioneers in the application of AI in these domains.
- This course developed by the Institut Montaigne and Fondation Abeona aims to explain the basics of artificial intelligence. From understanding what it is as well as the impact it can have in the workplace and society. This course is an excellent way...
- This joint course between the Governance Lab, the Global AI Ethics Consortium, the NYU Center for Responsible AI, TUM, the NYU Tandon School of Engineering, The Living Library, and the UNESCO IFAP Working Groups looks at the ethical ramifications of...
- This course provides you with background information and hands-on experience with big data and A.I., the two main forces behind the computational science revolution.
- learn how to define the problem and prepare the data for a machine learning project in this MOOC by Amii
- xAIM (eXplainable Artificial Intelligence in healthcare Management) is an online Master program aiming to create an interdisciplinary environment where students are trained to work at the intersection of Data Science, AI and Healthcare.