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The “Microfluidic Lab-on-a-Chip Systems” course is designed to introduce the fundamentals and advanced concepts of microfluidics technology within a compact and efficient framework. Throughout this one-month program, participants will explore the principles of microscale fluid dynamics, the engineering of microfabricated devices, and the integration of analytical methods into tiny chip-based systems. The curriculum includes detailed sessions on material selection, device fabrication, system integration, and real-world applications, such as point-of-care medical devices and environmental sensors. In the latter part of the course, students will engage with complex scenarios, applying their knowledge to solve problems in healthcare diagnostics, drug development, and environmental monitoring, preparing them to lead advancements in this transformative field.
The “Microfluidic Lab-on-a-Chip Systems” course is designed to introduce the fundamentals and advanced concepts of microfluidics technology within a compact and efficient framework. Throughout this one-month program, participants will explore the principles of microscale fluid dynamics, the engineering of microfabricated devices, and the integration of analytical methods into tiny chip-based systems. The curriculum includes detailed sessions on material selection, device fabrication, system integration, and real-world applications, such as point-of-care medical devices and environmental sensors. In the latter part of the course, students will engage with complex scenarios, applying their knowledge to solve problems in healthcare diagnostics, drug development, and environmental monitoring, preparing them to lead advancements in this transformative field.
This program aims to provide an in-depth understanding of microfluidic lab-on-a-chip systems, focusing on their design, functionality, and applications across various fields. Participants will learn how to innovate and apply these systems to streamline laboratory processes, enhance diagnostic procedures, and develop new technologies for health and environmental monitoring.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
Standard Fee: INR 14,998 USD 258
Discounted Fee: INR 7499 USD 129
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