Sawyer Bowerman

Sawyer Bowerman

Sawyer Bowerman is an AI Engineer and Developer Advocate on Red Hat’s AI team based in Boston, MA. He specializes in high-performance model serving and inference, focusing on scaling open-source ecosystems like vLLM and llm-d to make large language models more efficient and accessible for developers. He is dedicated to bridging the gap between raw model performance and real-world developer productivity through open-source innovation.
"Hello World" on OpenShift AI: Training Your First Neural Network
AI Coding Summit 2026AI Coding Summit 2026
Mar 11, 15:00
"Hello World" on OpenShift AI: Training Your First Neural Network
WorkshopPublic
Join us for an interactive workshop where you'll train your first neural network using the classic MNIST handwritten digit dataset. In this hands-on session, participants will use OpenShift AI 3.x Workbenches to build and train a PyTorch model that recognizes handwritten digits from images.This beginner-friendly workshop provides a practical introduction to machine learning workflows in an enterprise-grade AI platform. Working directly in Jupyter notebooks, attendees will clone a ready-to-use GitHub repository, explore the MNIST dataset, and walk through the complete model training pipeline—from data preprocessing to model evaluation. The session uses CPU-optimized configurations, making it accessible without requiring specialized GPU resources.Whether you're new to AI/ML or curious about how the models you use actually function, this workshop offers practical, immediately applicable experience.Takeaways: Participants will leave with a working neural network, a complete training notebook they can reference, and foundational knowledge of deploying and utilizing ML workloads on OpenShift AI.
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