In this hands-on workshop, participants will leverage AWS Trainium to fine-tune and deploy their own chess-playing language models. Building on recent research showing language models' effectiveness in reasoning, attendees will work with various chess datasets to create AI models that not only play chess but explain their strategic thinking through natural language. The 90-minute session will cover model fine-tuning techniques, optimization strategies specific to Trainium's architecture, and real-time deployment to a chess engine. The workshop culminates in a live tournament where participants' models compete against each other, providing immediate feedback on their implementations. Participants will leave with a working chess reasoning model, practical experience in fine-tuning language models on Trainium, and transferable skills for similar tasks. Python programming experience and familiarity with LLM concepts are required, in addition to a basic understanding of the rules of chess. Workshop materials and AWS credits will be provided.