Preliminary Track Overview
Choose a focus area aligned with your interests and career goals.
Deep Learning For Computer Vision
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.
Digital Product Design & Simulation
3D modeling, Finite Element Analysis (FEA), and Computational Fluid Dynamics (CFD) to create, test, and optimize products virtually before physical manufacturing.
Cybersecurity & Cognitive Security
Protection of digital systems, networks, and industrial operations using both traditional defense mechanisms and AI-driven threat intelligence to predict and neutralize attacks.
Digital Twin Engineering
Developing data-driven virtual replicas of physical systems to bridge the physical and digital worlds, enabling predictive maintenance, process optimization, and smarter decision-making 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.