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.
- Course level: Intermediate
- Duration: 20 minutes
Activities
On-demand video
Course objectives
In this course, you'll learn: best practices for each of these to help review and refine your workloads, maximize utilization while minimizing inefficiencies, and optimize total resources deployed and powered to support your workload.
Target audience
This course is aimed at: 200 level (Intermediate) Customers (Architects)
Requisites
We recommend that people who meet the following requirements take this course: 100 (level) Introductory courses on SkillBuillder on Sustainability. Specifically,
- Sustainability Transformation with AWS
- AWS SimuLearn: Sustainability Reporting
- Decarbonization with AWS Introduction
Course outline
Module 0: Introduction
Module 1: Sustainable strategies for compute
Module 2: Sustainable strategies for data
Module 3: Sustainable strategies for managing key data
Module 4: Sustainable strategies summary
Deep Dive Resources
- https://aws.amazon.com/sustainability/
- https://sustainability.aboutamazon.com/products-services/the-cloud
- https://docs.aws.amazon.com/wellarchitected/latest/sustainability-pillar/cloud-sustainability.html
- https://aws.amazon.com/aws-cost-management/aws-customer-carbon-footprint-tool/
