Dive into the dynamic world of semiconductor chips with our expertly designed course, crafted for professionals who aim to master the industry's intricacies. From concept to creation, explore each stage of the semiconductor lifecycle — design, manufacturing, assembly, and testing.

This two-week program uses interactive webinars and on-demand recordings to develop a solid grasp of the concepts necessary for success as an advanced packaging engineer or product development professional.

This demonstration line is jointly developed by the Global Electronics Association (GEA) together with Aurotek, Advantech AI, and Universal Robots, fully adopting the GEA/IPC CFX standard to enable plug-and-play connectivity, real-time data exchange, and end-to-end traceability. The line integrates AI-driven inspection and safety monitoring with collaborative robot automation, while seamlessly connecting to MES, ERP, and cloud platforms to create a highly connected smart manufacturing environment. Through this CFX showcase, the solution demonstrates a comprehensive digital management model spanning production, quality, and workforce safety—helping electronics manufacturers accelerate smart factory adoption, improve operational efficiency, and reduce overall risk.

Understand what your PCB design team is doing and catch issues before they become delays.

This course introduces foundational principles for understanding electrical systems and electronic hardware. Topics include basic DC and AC electrical theory, passive and semiconductor components, the use of basic test tools, and familiarity with common methods of inspection.

AI-Enabled Electronics Manufacturing: Applications in Quality and Root-Cause Analysis How AI can help electronics manufacturing teams use data, knowledge, and experience to make more informed operational decisions Electronics manufacturing teams are under increasing pressure to improve quality, reduce defect escapes, respond quickly to customer requirements, and make better day-to-day decisions across complex manufacturing operations. At the same time, the information needed to make those decisions is often distributed across inspection systems, process logs, equipment data, engineering specifications, FMEAs, corrective-action records, customer requirements, and other technical documentation. The challenge is not simply having more data; it is turning fragmented information and technical knowledge into practical, trustworthy decision support.