SEMI and Arizona State University to deliver semiconductor engineering and AI education

SEMI has partnered with Arizona State University (ASU) to expand access to high-impact, on-demand training for the global semiconductor workforce.

The newly-launched courses, available through the SEMI University (SEMI U) learning platform, span emerging and foundational topics critical to today’s semiconductor professionals, including AI, packaging, process characterization, and operational excellence. The courses offer a certificate from ASU upon successful completion of each module.

“Our partnership with ASU marks a significant step forward in delivering world-class semiconductor and AI education at scale,” said Shari Liss, VP of Global Workforce Development and Initiatives at SEMI. “Together, we’re equipping current and future professionals with the critical, in-demand skills needed to accelerate innovation and ensure the continued growth of our industry. These flexible, high-quality learning experiences reflect our shared commitment to workforce excellence and global access.”

SEMI U featured courses with ASU include:

AI Foundations: Prompt Engineering
AI Foundations: Scripting ChatGPT with Python
Semiconductor Packaging Design and Manufacturing
Semiconductor Characterization Techniques and Applications
Lean Six Sigma Yellow Belt Certification.

“This collaboration exemplifies ASU’s commitment to aligning our educational expertise with the evolving needs of the semiconductor industry,” said Kyle Squires, ASU’s Senior Vice Provost for Engineering, Computing and Technology and Dean of the Fulton Schools. “Expanding access to these programs through SEMI’s platform allows us to support emerging talent and strengthen global competitiveness in this critical sector.”

The courses are now available through SEMI U’s online learning platform, offering 24/7 access to self-paced content taught by subject-matter experts. The programs are ideal for students, early-career professionals, and experienced engineers seeking to upskill in key areas of semiconductor technology and AI.

Additional courses coming soon include: 

• Material Science for Semiconductors Metals, Polymers & Ceramics
• Design of Experiments for Process and Product Optimization
• Prototyping Techniques: CAD, Fabrication, and Microcontrollers.