Preliminary Track Overview
Choose a focus area aligned with you interests and career goals.
Master the fundamentals of Deep Learning. Build and deploy AI/DL models for visual inspection, robotics, and automation using NVIDIA Jetson/Orin and different deep learning frameworks.
3D modeling, Finite Element Analysis (FEA), and Computational Fluid Dynamics (CFD) to create, test, and optimize products virtually before physical manufacturing.
Protection of digital systems, networks, and industrial operations using both traditional defense mechanisms and AI-driven threat intelligence to predict and neutralize attacks.
Developing data-driven virtual replicas of physical systems to bridge the physical and digital worlds, enabling predictive maintenance, process optimization, and smarter decisionmaking across industries.
Experiential Learning Loop
A hands-on cycle where students learn, design, test, and apply real-world solutions.
Get Started Today!
Click "apply now" and submit your resume, academic transcript (unofficial acceptable), and a short statement of interest explaining why you want to join the Fellowship and which track best fits your goals.
Candidates will be invited for a brief interview or virtual assessment with the Fellowship review team. This step evaluates your technical curiosity, problem-solving mindset, and commitment to completing an intensive 6-month experience.
Once selected, complete your registration and attend the Fellowship Orientation. You’ll join a multidisciplinary cohort of innovators, receive your track assignment (e.g., AI, Simulation, Cybersecurity, or Digital Twin), and begin your journey of learning, building, and showcasing industry-ready solutions.