Advancing Skills
for Additive Manufacturing Inspection
grAcefulAM is an Erasmus+ innovation project addressing critical
skills gaps in advanced Additive Manufacturing through AI-supported learning.
AM InspectionAI Learning
PROJECT BACKGROUND
Why grAcefulAM:
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Key AM Tech (DED & PBF)
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Implementation Phases
% AI-supported Learning Paths
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EU MS Impacted
grAcefulAM is an Erasmus+ innovation project designed to address the significant skills gap in Additive Manufacturing (AM), with a particular focus on Directed Energy Deposition (DED) and Powder Bed Fusion (PBF) technologies. Industry reports highlight a growing shortage of professionals capable of working with these advanced processes - especially inspectors, whose role is essential for detecting defects, ensuring part integrity, and supporting quality assurance. The project responds directly to this need by developing dedicated training programmes and curricula that strengthen inspection‑related competencies in AM.
As AM technologies become increasingly important in high‑value sectors, their complexity demands specialised knowledge in areas such as defect identification, non‑destructive testing, and real‑time process monitoring. At the same time, education is being transformed by artificial intelligence, which enables personalised, self‑paced, and adaptive learning supported by cutting‑edge AI‑driven pedagogy. grAcefulAM brings these developments together by creating an AI‑supported learning platform tailored to the specific requirements of AM inspection roles.
Through this approach, the project supports workforce readiness, enhances the capacity of VET and Higher Education systems, and aligns with European priorities on digital transformation, skills development, and sustainability. By combining advanced AM knowledge with AI‑enabled training, grAcefulAM contributes to preparing a new generation of inspectors equipped to ensure quality and reliability in modern manufacturing.
OBJECTIVES
Clear goals. Real impact:
Address the skills gap in Additive Manufacturing with a particular focus on Directed Energy Deposition (DED) and Powder Bed Fusion (PBF), by developing training that responds to industry needs.
Create dedicated training programmes and curricula for AM inspection, responding to the shortage of skilled inspectors and the absence of a formalized inspection profile in existing qualification systems.
Develop an AI - supported learning platform that enables personalized, self‑paced, and adaptive learning through cutting‑edge AI‑driven pedagogy.
Strengthen the capacity of VET and Higher Education systems by equipping educators with the skills to use AI tools, interpret data‑driven insights, and integrate AI into teaching practice.
Promote sustainability and green skills by embedding resource‑efficient manufacturing principles, repair strategies, and material optimization into AM training.
Support workforce readiness and competitiveness in sectors adopting advanced AM technologies by ensuring learners acquire the technical, digital, and inspection competencies required by industry.
IMPACT
Meaningful Impact:
The grAcefulAM project delivers impact across skills development, digital transformation, and sustainability in Additive Manufacturing.
Addresses critical skills shortages in Additive Manufacturing, particularly in Directed Energy Deposition (DED) and Powder Bed Fusion (PBF), where industry reports highlight a lack of qualified engineers, operators, and especially inspectors.
Strengthens inspection capabilities in AM, responding to the absence of a formalized inspection profile in existing qualification systems and the need for professionals able to identify defects, ensure part integrity, and support quality assurance.
Supports the digital transformation of VET and Higher Education by integrating AI‑supported, personalized, and self‑paced learning that adapts to individual learner needs.
Introduces cutting‑edge AI‑driven pedagogy, providing real‑time feedback, tailored learning pathways, and continuous support through AI‑enabled tools.
Builds educator capacity by equipping teachers and trainers with the skills to interpret AI‑generated analytics and integrate AI tools into their teaching practice.
Promotes sustainability and green skills by embedding resource‑efficient manufacturing principles, repair strategies, and material optimization into AM training, aligning with the European Green Deal.
Enhances workforce readiness and employability, preparing learners for roles in high‑value sectors that increasingly rely on advanced AM technologies.
Contributes to Europe’s competitiveness by supporting the development of a skilled workforce capable of meeting the technological and quality demands of modern manufacturing.
IMPLEMENTATION
Project Roadmap:
The project begins with a comprehensive assessment of the skills required for inspection in Directed Energy Deposition (DED) and Powder Bed Fusion (PBF). This analysis identifies the specific competencies missing in current training systems and clarifies the gaps that the new curricula and AI-supported learning platform must address.
Based on this analysis, partners develop curricula that combine AM technical knowledge, inspection skills, sustainability principles, and AI-supported learning approaches.
The consortium develops a platform that enables personalized, adaptive, and self-paced learning, supported by cuttin-edge AI-driven pedagogy.
Educators and trainers receive support to develop the skills needed to work effectively with AI tools, interpret AI-generated insights, and integrate AI into their teaching practice in an ethical and informed way.
Training materials and the AI platform are tested with learners and educators. Feedback is used to improve content, usability, and effectiveness.
Throughout the project, partners monitor progress, ensure quality, and disseminate results to support wider adoption across VET and Higher Education.
INNOVATION
Three Drivers of Innovation:
A New Focus on AM Inspection:
grAcefulAM fills a critical gap in existing qualification systems by developing the first dedicated training programme for inspection in Directed Energy Deposition (DED) and Powder Bed Fusion (PBF). While current frameworks emphasise operators and designers, inspection remains underdeveloped despite its essential role in ensuring quality and reliability.
AI‑Supported, Adaptive Learning:
The project introduces advanced AI‑enabled pedagogy into AM training. Learners benefit from personalised, self‑paced pathways, real‑time feedback, and adaptive support. This approach enhances learning outcomes and helps educators build confidence in using AI tools ethically and effectively in their teaching practice.
Sustainability Embedded in Technical Training:
grAcefulAM integrates resource‑efficient manufacturing principles, repair strategies, and material optimisation directly into AM curricula. This ensures that future professionals develop both the technical and green skills needed to support Europe’s sustainability goals.
AM Inspection
AI Learning
