ABOUT OUR PROJECT

Machine Learning (ML) is a subset of Artificial Intelligence (AI) that has gained substantial prominence in diverse economic & social realities, has become the basis for a series of technological developments such as automated translation systems, medical image analysis, and virtual assistants. ML was born from pattern recognition but has evolved to refer to the use of data & learning algorithms to produce models, predict outcomes, and make decisions with minimum human intervention. The fast-paced expansion of ML, especially in data-driven industries (e.g. banking, retail), is rapidly pushing up the demand for skilled ICT workers in the EU. While the demand for ML expert workers is particularly high, the supply is severely lagging behind.

MACHINA is an Erasmus KA2 project, which aims to tackle this ML skill deficit by increasing the relevance of Continuing & Initial VET provision in the sector, to assure that the existing & future ICT workforce will have the ML specific competences & transversal skills required to respond to modern workplace requirements and succeed in a competitive, fast-growing field. The project will also make available transnational educational materials in the form of OERs, to ensure wide adoption and support VET provision in a cost-effective, flexible way.

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PROJECT OBJECTIVES

• Design a joint VET curriculum in ML, to empower ICT workers with sought-after technical, non-technical and meta (soft) skills.

• Introduce flexible training delivery methods and innovative open access pedagogical resources to support VET provision and ML skills acquisition.

• Foster the recognition and integration of ML skills requirements into sectoral competence frameworks & certification schemes.

• Improve ML labour market & skills intelligence at the EU level.

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TARGET GROUP

• Educational/Training providers

• ICT workers in need of C-VET

• I-VET students

• Sector representatives and social partners

• Public educational and accreditation authorities

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OUR PARTNERS

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The European Commission support for the production of this publication does not constitute an endorsement of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.