About This workshop
This intensive, hands-on workshop will guide participants through the principles and practical applications of sustainable AI. Attendees will learn how to optimize machine learning models for reduced computational cost and energy consumption, specifically focusing on deployment to resource-constrained edge devices. The curriculum covers model quantization, pruning techniques, and efficient inference frameworks, alongside discussions on selecting low-power hardware architectures. Participants will gain experience in deploying a sample green AI model to a simulated edge environment, understanding the full lifecycle from data to deployment with a focus on environmental impact. This workshop is crucial for developers and data scientists looking to align their AI projects with sustainability goals, providing actionable strategies to make AI more eco-friendly.
