Services
AIMEN-DF offers different workforce training programs, providing a set of knowledge, methods, technical and managerial skills on digital and Advanced Manufacturing technologies. Knowledge transfer is approached in a totally flexible way, ranging from webinars to training courses in the use of new technologies and developing pathways towards industry 5.0 concepts.
The Didactic Factory also supports technology validation for tech-providers, testing the interaction, adaptation and acceptance of new technologies by workers. The degree of acceptance and operational usability of new technologies can be directly evaluated in a controlled environment. AIMEN-DF takes advantage of the knowledge, competences, technologies and infrastructure gained by AIMEN in these last years to accelerate the adoption of more precise, intelligent, efficient and flexible manufacturing methodologies in many different industrial sectors.
Hands-on training
- Laser-based materials processing Laser based manufacturing: welding of metals and advanced surface patterning
Overview of laser applications in material processing, focusing on laser beam welding and surface texturing and functionalization. It includes equipment selection, process setup, and the use of sensors and tools for beam analysis and process monitoring. Participants will have access to state-of-the-art facilities and equipment, with tutorials and mentoring from technical experts.
Laser cladding: repair technology and surface functionalizationThis course focuses on demonstrating the skills of laser cladding technology for coating, repairing, and remanufacturing metal component surfaces.
Advanced laser weldingOverview of laser welding applications in material processing, covering equipment selection and process setup. It includes three hands-on activities: laser welding of polymers, welding of dissimilar metallic joints, and hybrid laser welding of metals.
Laser beam welding (LBW) fundamentalsThis course aims to deliver essential skills in the use of LBW technologies including topics as basic principles of laser technology, an overview of industrial laser processes, an in-depth understanding of LBW and quality assurance, safety requirements, etc.
Surface functionalization by laser patterningOverview of laser applications in surface functionalization for industry professionals. It covers key technical aspects for selecting equipment and setting up processes. The course includes three hands-on activities: direct laser patterning, advanced surface engineering and nanopatterning, and surface characterization techniques. Attendees will learn to choose patterning strategies based on desired surface topography and functional behaviour.
Laser advanced micro manufacturing at AIMEN3D component functionalization by laser processes at AIMEN - Additive Manufacturing Directed Energy Deposition (DED)
Training on AIMEN’s metal wire on an industrial robotic cell of AIMEN’s AM Pilot Factory, addressed to work with laser beam and wire as feedstock material.
Additive Manufacturing of industrial componentes by LDEDAdditive Manufacturing of industrial componentes by LDED - Collaborative Robotics, Extended Reality and Perception technologies Robotics and Artificial Vision for machining, cutting and welding of naval components
Basic training workshop in robotics and artificial vision for the machining of naval components, and the cutting and welding of pipe fittings.
Basic concepts on collaborative robot tools and safety for shared workspace with robotsIntroduction to the use of collaborative robotics and the ISO/TS 15066:2016 standard, outlining the safety requirements for collaborative industrial robots and offering guidance on their operation Introduction to Speed and Separation Monitoring concepts for collaborative robotics applications. Introduction to hand-guiding principles for intuitive and flexible programming.
Projection-based Augmented RealityHands-on sessions to guide trainees to set up and deploy two different projection systems as they work on a supervised, hands-on, team-based project. Provides an interactive learning experience in assisting workers in the precise positioning of non-structural elements.
Robot-based Waste Electrical and Electronic Equipment (WEEE) disassembly and remanufacturing cells supporting sustainability and circularityDemonstration services, hands-on training and workforce upskilling in smart and sustainable manufacturing robot cells for material processing and disassembly.
Human perception technologiesDemonstration services and hands-on training and workforce upskilling on for pose estimation, tracking, and monitoring applications.
Perception technologiesIntroduction to novel technologies of perception.
AIMEN Robotic Capabilities | Projection Systems - INSPECTORAIMEN Robotic Capabilities | Safety Systems - HANDOUTAIMEN Robotic Capabilities | Safety Systems - SSMAIMEN Robotic Capabilities | Collaborative RobotsHand-held AR tools | AIMEN XXL Pilot FactoryHigh payload mobile robots | AIMEN XXL Pilot Factory - NDT Training on arc welding defects and inspection
Introduction on basic principles on arc welding, correlation between process parameters with the melt pool in arc welding processes. Introduction of non-destructive methods. Introduction to welding evaluation and defect detection. Introduction to the labelling of welding defects and defect detection principles.
Monitorisation systems, simulation technologies and quality control systems for DED-based technologies
- In-Mould Manufacturing Vacuum Infusion Workshop
Workshop offering both theoretical and practical insights into the vacuum infusion process, featuring an in-depth introduction to its principles and applications, real-world success stories from AIMEN, and a hands-on demonstration where participants will manufacture a demonstrator with live process monitoring to understand each step in detail.

On-line training
- Artificial Intelligence Manual data labelling for image-based defect detection applications
Understand basic concepts of artificial intelligence, learn how to process image data for computer vision (CV) and run a CV algorithm. Introduction to AI, Computer Vision, YOLO and Python for defect detection applications. Submerged arc welding (SAW) use case.
Data-driven and generative AI for decision supportLeveraging AI-driven insights to assist operators in decision-making, incorporating sustainability indicators and contributing to Circular Economy strategies. This enables more efficient resource utilisation, waste reduction, and the development of intelligent, sustainable production models.

- Digitalisation Digitalisation as a main enabler for advanced manufacturing processes and products
Technological introductory training module for Industry 5.0 transition, covering Industrial Digital Twins (DTs), Digital Thread and Digital Product Passport (DPP)
Training on Asset Administration Shell (AAS) and Digital Twin (DT)Introduction to the use of AAS for the modelling of DTs. Introduction to the AAS structure and submodels definition. Introduction to the package explorer and creation of different models from practical exercises. Introduction about standards related to AAS modelling.
Data monitoring & digitalisationAdvancing Industry 4.0 through real-time monitoring, process digitalisation, and seamless data interoperability. These capabilities drive smarter decision-making, optimise manufacturing efficiency, and promote sustainability across industrial operations.

- Industry 5.0 transition Human-centric approaches for manufacturing shopfloors and value chains
Technological introductory training module for Industry 5.0 transition, covering Human Centricity as a driver for industrial digitalization, Decision support systems and Explainability, and Collaborative & embodied robotics.

- Laser-based materials processing Laser Safety. Basic Concepts
Brief review of the potential hazards and take necessary precautions when working with laser sources. It covers laser radiation properties, classification, and safety measures, as well as the use of protective equipment, emergency response procedures and compliance with regulations.
Introduction to Laser Beam WeldingUnderstanding the key principles of laser welding of metals in different scenarios. To know the influence of the different types of joints and process parameters. Understand the quality aspects related to the process.
Fundamentals laser technology for materials processingBrief presentation on the basics of laser technology and how to apply it to materials processing. What is laser? Why choose this technology? Main characteristics and applications, etc.
Surface functionalization by laser patterningOverview of laser applications in surface functionalization for industry professionals. It covers key technical aspects for selecting equipment and setting up processes. The course includes three hands-on activities: direct laser patterning, advanced surface engineering and nanopatterning, and surface characterization techniques. Attendees will learn to choose patterning strategies based on desired surface topography and functional behaviour.
- Additive Manufacturing Introduction to Laser Based Additive Manufacturing
This course compares different laser additive manufacturing processes and describes a typical AM process flow. It includes main features, advantages and disadvantages, materials, examples of parts manufactured with each technology.
Simulation of AM DED processThis course helps the attendees to understand the basics of DED process simulation covering aspects such as the need to implement simulation techniques to improve production processes as well as their current situation and future challenges.
Innovative processes in additive manufacturing: DED technologiesThis course helps the attendees to understand the fundamental concepts of DED processes and covers the topics such as, how the technology works, different DED processes, materials used, and typical applications where this technology is used.
AIMEN Capabilities in Additive ManufacturingAM Manufacturing of composite mold for wind turnine bladeLarge Format Additive Manufacturing
Webinars
- Sensors

- Computer Vision Robotics and Artificial Vision for machining, cutting and welding of naval components
Basic training workshop in robotics and artificial vision for the machining of naval components, and the cutting and welding of pipe fittings.
Speed and Separation Monitoring (SSM)Webinar on a AIMEN’s Speed and Separation Monitoring (SSM) system to facilitate human-robot collaboration in shared workspaces.

- Artificial Intelligence Artificial intelligence for High Entropy Alloys (HEA) material selection
Training material about Artificial Intelligence for HEA materials selection and Metallic AM technologies.
AI-supported monitoring systems for welding processesThis session covers an introduction to AI, overview of the monitoring system, presentation of AI applications in welding defect detection. AI-supported monitoring system for detection of defects applied to submerged arc welding. How artificial intelligence enhances defect detection in submerged arc welding through advanced monitoring system.
Generative models for materials discoveryPresentation of generative models for the materials discovery use case.
Basics of Machine LearningShort introduction to the emergence of AI and Machine Learning Basic Theory, including Supervised ML, Unsupervised ML, and Reinforcement Learning.

- Digitalisation Digital Twins for Circular Manufacturing
Explore how digital twin technologies like AIMEN’s Smart Hub can be leveraged to enhance circularity across manufacturing operations, focusing on process optimisation, real-time monitoring, and closed-loop production systems.

- Additive Manufacturing Pilot lines for Additive Manufacturing of metal components
Webinar from the Integradde Training “AM for Manufacturers” covering an overview metal Additive Manufacturing processes and focusing on wire-based and powder-based Laser Metal Deposition.


