Training Courses

Are you up for the task? Explore a diverse range of training courses tailored to help you master the knowledge and skills essential to thrive in Data and AI careers in the manufacturing and process industry of the future.

  • This role focuses on developing and implementing AI and machine learning models to optimize battery disassembly, recycling processes, and state-of-health certification for end-of-life Lithium-ion batteries. Additionally, it involves integrating Digital Product Passports and asset administration shells to enhance traceability, compliance, and efficiency in battery lifecycle management.

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  • This role is responsible for the technical aspects of battery treatment, including the disassembly, remanufacturing, and recycling of Lithium-ion batteries, ensuring efficient end-of-life management and reuse.

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  • This role focuses on creating and managing digital twins of WEEE components using AI and computer vision, integrating inspection data to optimize the disassembly and recycling processes.

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  • This role focuses on developing and implementing collaborative robotics solutions to assist in the manual disassembly of WEEE, enhancing efficiency and reducing physical strain on human workers.

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  • This role is responsible for developing ML modules and AI applications to optimize production processes, ensuring efficient and sustainable operations.

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  • This role focuses on designing and implementing circular economy strategies across various domains, ensuring sustainability, efficiency, and profitability in end-of-life product management, resource recycling, and process optimisation.

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  • This role is responsible for harnessing data analytics and AI to drive sustainability initiatives, focusing on resource optimisation, environmental impact reduction, and the development of predictive models for various industrial processes.

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  • This role focuses on leveraging digital technologies, including AI, IoT, and digital twins, to innovate and enhance processes across various domains, driving efficiency, sustainability, and strategic decision-making.

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  • This role focuses on developing and maintaining a Hybrid Circular Twin (HCT) to integrate data-driven digital twins with physical models and improving predictive capabilities for sustainable operations.

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Understand the competencies and challenges of future manufacturing professionals and explore new opportunities.