Sustainable AI
This four-week course equips you with tools, and strategies to mitigate AI’s climate impact, optimize AI products for sustainability, and implement responsible, energy-efficient AI technologies


Created by —
François Burra
Co-founder, Climate Product Leaders, 3X product lead
Pascal Joly
Product lead, AI and data solutions expert
Introductory level
Some knowledge of programming and data science recommended but not necessary
Flexible schedule
Learn according to your schedule with fully asynchronous learning
3 weeks / 4 hours per week
Expected commitment. We will help keep yourself accountable with timely check-ins
Certificate & Office-hours
NewCertificate and office-hour meetings with course creator and other learners
Course overview
AI is projected to account for 50% of the Internet’s energy consumption by 2050, an increase from less than 1% today. Large language models (LLMs) already drive significant energy use in data centers globally, with demand rapidly increasing. This course offers actionable strategies for product managers and seasoned professionals to develop and implement AI products sustainably.
We’ll begin by examining the climate impacts and risks associated with AI. From there, we’ll explore sustainable AI principles, including sufficiency and efficiency, and their real-world applications. You will also learn essential tools for measuring sustainability and the ROI of adopting sustainable AI practices.
Throughout the course, you’ll engage with metrics and methodologies to make informed, climate-forward decisions when adopting and implementing AI technologies. By the end, you’ll be equipped with the knowledge and network to drive sustainable AI initiatives within your organization.

Skills you will learn
AI measurement and reporting
Measure and optimize the climate impact of digital technologies
AI use case fit
Assess when AI is appropriate and when alternatives are more sustainable
AI product design
Design AI solutions with minimized environmental impact
AI cloud engineering
Implement best practices to reduce AI’s environmental footprint in the cloud
Who is this course for?
Digital builders
Gain expertise in embedding environmental sustainability into AI projects, from data collection to model deployment
Leaders, executives, and VPs
Lead with sustainability in mind, craft strategic initiatives, and implement policies that reduce AI’s environmental impact
Sustainability and ESG professionals
Understand AI's climate impact and identify effective strategies to reduce those impacts, ensuring alignment with broader sustainability goals and ESG frameworks
Course syllabus
Welcome and introduction to sustainable AI
Readings/viewing: The environmental impacts of AI, Emissions sources of digital products, Distribution of emissions in AI applications, Measuring emissions from AI
Sustainable AI principles
Readings/viewing: When to leverage AI (and when not to), Sufficiency vs. efficiency, Prioritizing and choosing the right AI, Measuring ROI of sustainable AI.
Sustainable AI principles
Readings/viewings: Energy efficiency in model training and inference, Sustainable infrastructure choices, cloud providers, and data centers, Engaging stakeholders on AI sustainability principles
Scholarship and financial aid
Selected applicants can receive scholarships based on merit or need. Have a scholarship from elsewhere? Terra.do will match it.
Pay in installments
You can pay the course fee in easy installments.
What you get with with this course
Free office-hours
Join monthly live sessions with the course creator and peers taking the same course.
Global community
Join our global community of 5k+ professionals from 80+ countries with 200+ expert mentors
Live events & workshops
Attend immersive events and practical workshops with top climate voices and peers
15% off other courses
As a learner, you get 15% off for all other courses on Terra.do. Including our cohort-based courses.
AI-assisted learningBeta
Cutting-edge AI-assisted learning experience with personilzed pathways and more.
Meet the course creators

François Burra
Co-founder, Climate Product Leaders, 3X product lead
François is a sustainable digital and low-carbon product consultant, mentor, and speaker with several successful turns as a Product Lead and UX Designer and 13 years of experience working with startups and agencies in Canada and the US. He helps digital companies reduce their digital emissions by delivering training, measuring digital emissions, and creating low-carbon experiences. He has trained individuals and teams in a variety of organizations such as Huge, ServiceNow, Planes, fruggr, Accenture Song, Cossette, etc. He recently wrote the climate product playbook “How to Become a Climate-Conscious Product Manager”. François is also a Terra.do fellow, completing Climate Change: Learning for Action in 2022

Pascal Joly
Product lead, AI and data solutions expert
Pascal is an experienced product manager with 25 years of experience in IT services and digital product development for large companies. He is a sustainability consultant at IT Climate Ed and an experienced digital collage facilitator. He holds a Coursera certification in Machine Learning, is a graduate of the INRIA Environmental Impacts of Digital Technologies program, and is certified in GHG Scope 3 measuring.
You won't learn alone
Join monthly live office hours with the course creator and fellow learners.
- Ask your questions live
- Get direct feedback from the instructor
- Connect with peers taking the course with you
- Learn from others' questions
- Get access to the recording if you miss it
- Keep lifetime access
Frequently Asked Questions
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Take this course
Sustainable AI
One-time purchase. Lifetime access. Free live office hours.
Pay in three easy installments