KSU Office of Research
Compound Intelligence Professional Development
Join a cohort of 12 professionals for hands-on training with GPU-accelerated AI platforms from NVIDIA and AMD. Build working skills in compound intelligence you can apply to your own research and work.
00 / Purpose
Why This Matters
Accelerated computing and AI belong in every state and every community. They are the infrastructure behind scientific progress and economic opportunity right now.
AI as Shared Infrastructure
GPU-accelerated computing powers research and industry across every discipline. Every institution—community colleges, HBCUs, regional universities, R1 research centers—should have access to these tools and the training to use them.
Equitable Workforce Development
Participants train on the same NVIDIA and AMD platforms used in production research environments. We cover both proprietary and open-source ecosystems so participants can choose tools that fit their institutions and budgets.
Scientific & Industrial Impact
Genomics, materials science, manufacturing, climate modeling—accelerated computing is already part of how this work gets done. These sessions prepare researchers and professionals to apply AI in their own fields and communities.
01 / System
What You'll Learn
AI & Accelerated Computing Foundations
Understand how large language models, diffusion models, and neural networks run on GPU-accelerated hardware. Grounded in NVIDIA Deep Learning Institute coursework and open-source frameworks on AMD ROCm.
Hands-On Platform Training
Instructor-guided work with current-generation hardware and software: NVIDIA Blackwell and DGX Spark, AMD Instinct GPUs with the ROCm open software stack. Bring compound intelligence techniques to problems in your own research or professional domain.
Responsible AI & Deployment
When should you use AI, when shouldn’t you, and how do you know? Covers bias detection, ethical review, and responsible deployment across academic and industrial settings.
Collaboration & Certification Pathways
Build toward recognized credentials alongside a cohort of professionals. Sessions prepare participants for NVIDIA DLI certifications and the AMD ROCm Star Application Developer Certificate through guided, small-group practice.
02 / Focus
Areas of Focus
Two disciplines where accelerated computing is changing how work gets done. We go deeper here.
Physical AI & Professional Visualization
Work with physical AI, digital twins, and collaborative 3D workflows on NVIDIA Omniverse and OpenUSD. Hands-on with Gaussian splatting and neural radiance techniques used in simulation, scientific visualization, and industrial digital twins.
Model Training & Durable Data Architecture
Train, fine-tune, and refine AI models using structured, reproducible data pipelines. Emphasis on durable data models and architecture patterns that keep your work auditable and production-ready across the full experiment-to-deployment cycle.
03 / Credential
Earn Your Micro-Credential
This is a year-long program. It starts with your first in-person session and ends with a recognized micro-credential. In between, self-paced modules and periodic presence touchpoints keep you connected to your cohort and moving forward.
Face-to-Face Contact Hour
Your first cohort-based session introduces core concepts and gets you working alongside peers. This opens the self-paced sequence that follows.
Self-Paced Learning Sequence
Work through structured modules covering AI fundamentals, accelerated computing, professional visualization, and model training. Periodic live check-ins with facilitators and your cohort keep progress on track.
Applied Capstone & Portfolio
Apply compound intelligence to a problem in your own field through a capstone project. The result is portfolio-ready work demonstrating what you can do with GPU-accelerated platforms and AI workflows.
Micro-Credential Earned
Complete the full compound intelligence sequence over roughly one year and earn a micro-credential backed by logged hours with industry-standard tools, completed projects, and demonstrated understanding of responsible AI.
03.5 / Partners
Where We Train
Hatchbridge Incubator
We work with Hatchbridge Incubator to build out capacity and training for teams looking to connect with university mentors, intellectual property, or founders. These sessions are part of the monthly Build It! series, where participants bring current projects and leave with measurable progress.
The Build It! series gives startup teams, researchers, and professionals a structured place to work on AI capabilities alongside people who can help.
CIM Transformer
We also deliver training through the Center for Interactive Media (CIM) Transformer event — an annual industry workshop focused on 3D creative production and reinforcement learning use cases. Transformer brings together practitioners working at the intersection of interactive media, simulation, and AI.
Sessions cover applied workflows in professional visualization, real-time rendering, and agent-based systems, presented in a conference setting with industry speakers and hands-on labs.
04 / Method
How It Works
Sign Up
Fill out the form below with your name and email. You'll be added to the waiting pool.
Cohort Forms
Once 12 people have signed up, a cohort is formed and you'll be notified automatically.
Find a Time
Vote on available time slots. We'll find the time that works for the most people.
Attend
Show up to your 90-120 minute in-person session and dive into compound intelligence.
05 / Team
Meet the Team
Dylan leads compound intelligence initiatives at KSU's Office of Research, working with faculty and staff to put AI tools to use in scholarly and administrative workflows. He holds NVIDIA DLI certifications in building large language models and diffusion models.
Laila runs research operations and professional development programs at KSU, with hands-on experience configuring scientific and creative workflows on CUDA platforms including DGX Spark. She keeps sessions practical and immediately applicable.
04 / Register
Reserve Your Spot
Sign up and we'll notify you when your cohort of 12 is ready.