Sustainable AI

The 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

Course start date: Oct 30, 2024
Enrollments close:
Oct 29, 2024

Live sessions: Wednesdays from 8:00 am - 9:30 am PT

Course level: Introductory

About this course

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.

Who is this program for?

Digital builders

Gain expertise in embedding environmental sustainability into AI projects, from data collection to model deployment.

Digital 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.

What climate skills you'll 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

An abstract imagine of a human brain on a series of computer windows.
FREE WEBINAR

The Climate Impact of AI

The first step in reducing AI’s climate impact is understanding its key sources and the most significant contributors. Join François Burra, Climate Product Leader, and 3X Product Lead, alongside Pascal Joly, AI, and Data Solutions Expert, as they dive into the primary drivers of AI emissions and explore strategies to mitigate them.

The Terra.do difference

Live lab groups

You will meet weekly with the instructor and fellow learners to share perspectives

Skills-based learning

You will engage in individual real-world assignments to immediately apply the skills you’ve learned

Personalized attention

Meet with the instructor 1-on-1 and get individualized feedback on your assignments

Asynchronous and synchronous learning

Flexible learning options to fit your learning style

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.

Course schedule

Week One: 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
  • Readings/viewing: When to leverage AI (and when not to), Sufficiency vs. efficiency, Prioritizing and choosing the right AI, Measuring ROI of sustainable AI
  • Assignment: Use an online tool to simulate various AI models and recommend the best fit for the given use case.
  • Readings/viewings: Energy efficiency in model training and inference, Sustainable infrastructure choices, cloud providers, and data centers, Engaging stakeholders on AI sustainability principles
  • Assignment: Quiz
  • Readings/viewings: Review other fellows’ final projects
  • Assignment: Using what you’ve learned during the course, create a climate-conscious AI action plan for a company

Pricing and expected commitment

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Frequently asked questions

The course is four weeks long and will be offered from Oct 30, 2024 to Nov 20, 2024. Live sessions will run on Wednesday from 8:00 am – 9:30 am PT and are structured with 60 minutes of content delivery and 30 minutes of discussion. Attendance is strongly encouraged, but recordings will also be made available.

Technology professionals with a background in AI who want to deepen their sustainability knowledge. Sustainability consultants seeking to acquire expertise in optimizing AI choices for their clients. Product managers aiming to shift into climate-focused roles and drive meaningful environmental impact. Professionals tasked with integrating AI into their products or services and want to minimize climate impacts from the outset.

Basic knowledge of AI terminology and principles is highly recommended but not required. Fellows will be provided with background resources.

Several organizations have learning or professional development budgets for their employees. We encourage you to enquire about and utilize this budget to attend the course. Terra.do will help you get reimbursed for the course by providing an invoice, a certificate, and any other documentation you need. If you have your company’s approval, we can arrange for your company to pay directly.

We expect to run more cohorts, given ongoing demand for this course.

Financial aid is not available for this course.

If you’re unsatisfied for any reason after the first session, we’ll refund you 100%. We only request that you give us feedback so we can improve.

You can defer your enrollment up until 14 days after the course starts.

If you have a question about this course that isn’t covered in the FAQ, please email us at sustainableai@terra.do.

Learn the skills to work on climate