Dr. Christopher Gordon, Ed.D., brings together two things rarely found in the same person: doctorate-level expertise in how people learn, and hands-on experience applying AI in real organisations. At SPW, he designs and delivers corporate AI training programmes that build genuine, lasting proficiency — not surface familiarity — with agentic AI tools and workflows.
His approach is grounded in constructivist learning science and Problem-Based Learning: active, workplace-relevant exercises that give employees skills they can apply the following Monday. He has delivered AI professional development across corporate, university, and international contexts — including a U.S. Department of State-funded programme in Pakistan.
Dr. Gordon is Associate Professor of Education at Lenoir-Rhyne University, where his research centres on AI integration, computational thinking, and technology-enhanced learning. Before joining SPW, he led a $1M+ grant portfolio as Interim Director of the Center for Education in STEM at UNC Wilmington — overseeing programme design, stakeholder coordination, and large-scale professional development delivery.
Nine years as a classroom educator in mathematics and science ground everything he builds in how people actually learn — not how trainers assume they do.
Our specialist AI agents support your team's learning journey — answering questions, running practice scenarios, and providing personalised coaching. Talk to Dr. Gordon's AI to scope what your team needs.
The most capable AI systems in the world underperform in organisations where staff don't know how to direct them. The bottleneck isn't the technology — it's the human interface. SPW's AI education programmes close that gap with practical, role-specific training grounded in real agentic workflows.
Our programmes are built by practitioners running AI-operated systems today. We don't teach theory — we teach the exact skills your team needs to get measurable results from the AI tools and agents your business is already investing in.
How to write prompts that get consistent, high-quality outputs. Covering instruction design, role assignment, chain-of-thought techniques, and iterative refinement for both chat and API use.
Understanding what agents can and cannot do. How to delegate tasks effectively, review AI output critically, and build a working relationship with autonomous agents that keeps humans in appropriate control.
Redesigning day-to-day work processes to incorporate AI at each step. From drafting and research to analysis, decision support, and communication — building habits that compound productivity gains.
Hands-on training with the AI tools most relevant to your team's role — whether that's Claude, ChatGPT, Copilot, Cursor, or your own deployed agents. We focus on the tools your organisation actually uses.
What can go wrong with AI and how to catch it. Hallucination awareness, data privacy boundaries, appropriate use policies, and how to build organisational guardrails that enable rather than stifle AI adoption.
For technical staff — how to design, deploy and operate AI agents. System prompt architecture, tool use, memory patterns, multi-agent orchestration, and the operational discipline needed to run agents in production.