Sustainability Strategies with Generative AI

In this learning module, we provide guidance from the Sustainability Pillar of the AWS Well-Architected Framework to reduce the carbon footprint of your Generative AI workloads, and particularly for more common Machine Learning applications.

• Sustainable AI architecture planning
• Carbon footprint analysis for AI workloads
• Energy-efficient deployment using cloud resources
• Application of AWS sustainability guidelines to real-world ML scenarios

• Recognize the energy demands and carbon footprint associated with generative AI and ML models
• Learn how to optimize AI workloads for better environmental and operational efficiency
• Apply sustainable design and deployment practices using AWS tools and frameworks

• Guidance from the AWS Well-Architected Sustainability Pillar
• Framework-based recommendations for optimizing AI models
• Real-world sustainability strategies for ML workloads
• Certificate of completion