About Education Division

Where deep technical expertise meets practical, hands-on training

Our Mission

We believe the best technical training comes from people who've actually built production systems at scale—not just taught about them.

Education Division was founded by four partners who share a common frustration: too much training in the HPC and AI space is theoretical, disconnected from real-world constraints, or taught by people who haven't wrestled with the same problems you face.

Our workshops are different. Every instructor has spent years in the trenches—building clusters, deploying AI systems, optimizing performance, and solving the messy problems that textbooks skip over. We teach the way we wish we'd been taught: practical, honest, and focused on what actually works.

Our Story

The idea for Education Division started at a supercomputing conference over drinks. Kris, Jason, Chris, and Anthony were comparing notes on the state of technical training—what worked, what didn't, and why so much of it fell short.

Kris brought HPC infrastructure expertise from years building and running clusters, including time at Ubisoft optimizing game development pipelines. Jason had just finished architecting an enterprise AI deployment that taught him every lesson you can't learn from a tutorial. Chris was deep into prompt engineering research, finding patterns that worked in production but weren't in any course curriculum. Anthony was producing technical content for conferences and realized how much knowledge was trapped in hallway conversations, never making it into formal training.

The realization hit: between the four of us, we had the knowledge, the teaching ability, and the production chops to create training that didn't suck.

So we built it. Education Division is structured as a new LLC with equal partnership, clean liability separation, and a revenue model that rewards teaching without penalizing the behind-the-scenes work that makes great workshops possible.

Our first workshop cohort launched in early 2026. The feedback was immediate: "Finally, training that doesn't waste my time." "This is what I needed when I started my role two years ago." "You just saved me six months of trial and error."

We're still small, still building, and still committed to the same principle that got us started: teach what you know, the way you'd want to learn it.

Meet the Team

K

Kris Howard

Managing Partner • HPC Infrastructure Lead

Kris has spent 30 years building, optimizing, and managing high-performance computing infrastructure across gaming, research, and enterprise environments. Starting at Cray Research and later serving as a systems engineer at Ubisoft in Paris, he optimized render farms and build clusters that powered AAA game development.

His expertise spans cluster architecture, job scheduling (SLURM, PBS, LSF), storage systems (Lustre, GPFS), and performance tuning for compute-intensive workloads. He's deployed everything from 100-node on-prem clusters to cloud-based HPC environments on AWS ParallelCluster.

Kris teaches with a pragmatic, no-BS approach: "If you can't use it in production, it's not worth learning." His workshops focus on real troubleshooting scenarios and the operational knowledge that only comes from keeping clusters running at 3 AM.

Specialties: HPC architecture, job schedulers, Linux systems administration, performance optimization, cloud HPC (AWS)

Teaches: HPC Fundamentals, AI Infrastructure, Linux for AI

J

Jason Brown

Partner • AI Solutions Architect

Jason bridges the gap between cutting-edge AI research and production systems that actually scale. With a background in both machine learning engineering and solutions architecture, he's designed and deployed AI systems for Fortune 500 companies navigating the messy reality of enterprise constraints.

His experience spans the full ML lifecycle: from POC demos that convince executives, to production pipelines serving millions of requests, to the inevitable firefighting when models behave unexpectedly in the wild. He's particularly skilled at MLOps, distributed training infrastructure, and making AI projects deliver ROI instead of just research papers.

Jason's teaching style is direct and practical. He skips toy datasets in favor of real scenarios with real complexity: dirty data, shifting requirements, budget constraints, and stakeholders who don't care about F1 scores.

Specialties: MLOps, enterprise AI deployment, distributed training, model serving, cost optimization, AI project management

Teaches: AI for Enterprise, AI Infrastructure, Building AI Pipelines, LLM Fine-Tuning, AI Security, AI Agents

C

Chris Harrison

Partner • Prompt Engineering Specialist

Chris is one of the early pioneers in systematic prompt engineering, having developed frameworks and techniques now used by teams at major tech companies. While others were treating prompting as an art, he approached it as a science—building repeatable methodologies for complex tasks.

His research and consulting work focuses on advanced prompting techniques (chain-of-thought, tree-of-thought, ReAct), multi-model strategies, and cost-effective optimization. He's particularly interested in the intersection of prompt engineering and agent architectures, exploring how LLMs can be orchestrated to solve problems that require planning, tool use, and iterative refinement.

Chris teaches with a structured, experiment-driven approach. Every technique is demonstrated with before/after comparisons, cost analysis, and guidance on when to use each method. His workshops are equal parts computer science, linguistics, and practical hacking.

Specialties: Prompt engineering, LLM optimization, AI agent design, multi-model orchestration, cost optimization

Teaches: Prompt Engineering, AI Agents

A

Anthony Motto

Partner • AV Production Lead

Anthony brings professional video production expertise to technical training. With years of experience producing conference talks, live streams, and educational content, he understands what makes technical material engaging versus what puts people to sleep.

His specialty is technical AV: capturing screens, demos, and presentations in ways that keep the focus on the content while maintaining professional polish. He's handled everything from single-presenter webinars to multi-day conference productions with multiple stages and live switching.

Anthony manages Education Division's production infrastructure—cameras, audio, streaming platforms, and post-production workflows. He also teaches workshops on AV production for technical professionals who want to level up their content creation game.

Specialties: Live streaming, multi-camera production, audio engineering, technical content creation, event production

Teaches: Technical AV Production

Behind the scenes: Anthony also handles marketing, promotional content, and workshop recordings—ensuring every Education Division workshop looks and sounds as professional as the content being taught.

What We Believe

🎯 Practical Over Theoretical

We teach what works in production. Theory matters, but only when it helps you build better systems.

💻 Hands-On Always

Every workshop includes real labs on real infrastructure. No slides-only sessions, no contrived examples.

🤝 Small Classes

We cap workshops at 20 attendees so you get personalized attention, not factory-line training.

📊 Honest About Trade-Offs

Every technology decision involves trade-offs. We don't hide the messy parts or pretend there's always a "best practice."

🚀 Immediately Applicable

You should be able to use what you learn on Monday morning. If it's not practical, we don't teach it.

🔄 Continuously Updated

Technology moves fast. We update workshop content based on what's actually happening in production—not textbook timelines.

Ready to Learn With Us?

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