Design suggestions of electrical machines, Dimensions, Calculation methods, Materials, Cost-optimal desgin
Machine Integrators, Manufacturers of Electrical Machines, Product Designers, Mechanical Designers
For companies and organizations, the participation of their employees ensures compliance with Article 4. This applies especially to those who use AI systems as a supporting tool without requiring deeper technical knowledge. For the participants themselves, the training offers the opportunity to specifically expand their competencies in dealing with AI. This is done in a practical and understandable manner. No prior technical knowledge is required. A participation certificate following the training confirms the acquired knowledge.
This training is specifically aimed at professional users of AI systems who have no technical prior knowledge and primarily use AI-powered tools as work instruments. The content is designed at an introductory level and conveys a solid foundational knowledge of the requirements of Article 4 of the EU AI Act.
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Hardware/Software AI Deployment recommendation report
Manufacturing and industrial automation industries. Teams who are deploying AI for machine vision, quality inspection, predictive maintenance, robotics, and real-time process control, need efficient, on-device inference.
Report with all identified shortcuts and errors in the decision logic and related countermeasures.
Significant reduction of AI hallucinations, improved data retrieval accuracy, validation of groundedness (adherence to factual information), and increased reliability of agents in multi-step tasks.
Manufacturing & Automotive
Feasibility report, measurement results
WPT technology provider
Feasibility report, measurement results
WPT technology provider
Report (benchmark comparison) and access to a ChatBot pipeline
Companies that want to break new ground in the field of AI/MLOps
Function prototype and evaluation report
SME with complex manufacturing systems or products
Improved or newly developed control strategy for the agreed electrical drive or power-electronic application
Evaluation of system performance, reliability, robustness and energy efficiency against agreed criteria
Assessment of system behaviour under relevant sensor failures or outages were included in the test scope
Identification of technical limitations and opportunities for further optimization
Recommendations for further development, implementation or experimental validation
Technical report summarising the analysed system, applied methods, test results and recommended improvements
Manufacturers and developers of electrical drives, power converters, power-electronic systems and industrial equipment, as well as system integrators seeking to develop, improve or validate advanced or AI-assisted control algorithms.
AI-Provider, AI-User
The customer receives a structured audit report with a rating per criterion, identified weaknesses and prioritized recommendations. For a Deep Audit, the report also includes statistical analyses and quantified findings.
Open for anyone
Delivery of curated and/or extended manufacturing datasets, accompanied by a technical report detailing dataset structure, enrichment methods, quality assessment, and recommended usage for AI model development and validation.
AI solution developers seeking high‑quality manufacturing datasets to support model development, training, benchmarking, and validation.
Validate the applicability, scalability, and adaptability of the AI-driven solution across different manufacturing processes. Demonstrate impact of the applied technology
Manufacturing companies that what to unlock potential of data to improve decision making, optimise operations, enhance machine health, with explicit attention to machine-human interaction and scalability.
Documentation + summary report
AI-provider
Digital Prototype or Feasibility or evaluation report
Hardware provider (machinery, AMR, AGV) or user