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Curriculum

Research and Applied Research

Courses

  1. 1
    AI and Computing Research FoundationsA ~10-hour Level 1 pathway for early-undergraduate students (freshman/sophomore) who are curious about research careers in AI, computing systems, and accelerated computing — including NVIDIA-aligned Research and Applied Research areas. You'll learn what computing research actually is, how to find and read a paper without getting lost, how to build an annotated bibliography, what the major research application areas look like (generative AI, computer vision, robotics, LLMs, graphics, VLSI, parallel systems, and more), and how to reproduce a small published result responsibly. Grounded in NVIDIA's own university-recruiting flyer and three NVIDIA-led webinars on agentic AI in research and teaching. Ends with a capstone where you reproduce and defend a tiny result.
  2. 2
    Applied Research Methods and Reproducible ExperimentsFor Applied Undergraduate / Junior–Senior students. Learn how to read papers like a researcher, reproduce published results, design honest experiments, and build a portfolio artifact that shows you know what you're doing.
  3. 3
    Advanced Research Studio in AI, Systems, and Accelerated ComputingA graduate/PhD-prep research-readiness studio for Master's, MBA, and PhD-track students who want to build evidence of research potential in NVIDIA-aligned areas — Generative AI, LLMs, Computer Vision, Robotics, Efficient Deep Learning, Simulation, Graphics, Autonomous Vehicles, Parallel Programming Systems, and Computer Architecture. In roughly 10 hours you'll learn to read graduate papers actively, reproduce results responsibly, design ablations, evaluate rigorously, and communicate research — using the NVIDIA stack (Nemotron, NIMs, NeMo, Nemo Claw, OpenShell, RAG Blueprint, DGX Spark) as the working reference. Capstone: a paper-reproduction + extension proposal you can put in a portfolio.