Sustainable AI

Jennifer Turliuk

Taught Sustainable AI course at MIT

AI is harming the climate. Learn strategies to make AI more sustainable.

This hands-on bootcamp explores the intersection of AI and climate, offering participants foundational knowledge and practical skills. No technical skills are required. Attendees will delve into the climate harms of AI, the potential climate benefits of AI, the net climate impact of AI, and strategies for making AI more sustainable.

Participants will transform theory into action through hands-on projects. You'll have the opportunity use intuitive low-code/no-code tools to create an AI application, with optional opportunities to leverage coding for those interested in further technical learning. Learn the fundamentals of sustainable AI, including building an AI solution - while addressing pressing challenges in sustainability.

The program concludes with a capstone activity in which participants develop and present a project with the aim of making AI more sustainable; it can be a prototype, policy, framework, venture concept, art piece, or something else. Whether you're new to AI and climate or experienced, this bootcamp provides a platform for innovation and impactful problem-solving.

Join us to learn, build, and create solutions for a sustainable future!

What you’ll learn

Build practical skills to evaluate and reduce AI’s climate impacts.

  • Analyze AI’s energy use, emissions, and resource impacts through real-world case studies

  • Apply systems thinking frameworks to assess AI’s overall climate effects

  • Compare competing claims about whether AI helps or harms climate goals

  • Explore technical, policy, and business approaches for more sustainable AI

  • Evaluate tradeoffs between model performance, cost, and environmental impact

  • Review emerging best practices in sustainable AI governance and deployment

  • Develop a prototype, policy, framework, venture concept, or creative intervention

  • Optional: Create an AI project using low-code/no-code or coding tools

  • Map opportunities in sustainable AI across business, policy, research, and entrepreneurship

  • Develop a personal perspective on the future of AI and climate

  • Present your ideas and receive peer feedback in a collaborative environment

Learn directly from Jennifer

Jennifer Turliuk

Jennifer Turliuk

Taught Sustainable AI at MIT

See all products from Jennifer

Who this course is for

  • Sustainability leaders: learn how to evaluate the climate impacts of AI.

  • Management consultants: gain insights to integrate AI, energy and climate into your work

  • Product Managers, Engineers, Consultants, Policymakers

Prerequisites

  • No technical skills required

    No prior experience with AI or climate is required. Knowledge of AI and climate science is helpful but not necessary.

What's included

Jennifer Turliuk

Live sessions

Learn directly from Jennifer Turliuk in a real-time, interactive format.

Weekly Projects and Final Capstone Project

Hands-on projects that build on each other, plus a final end-to-end capstone project you design and build yourself. By the time you're done, you have a complete, working sustainable AI project that you can include in your resume and in an interview.

Instructor Office Hours & Project Support

Direct access to Jennifer outside of sessions. Bring your project questions, unblock yourself when you're stuck, and get feedback.

Community Access

A private cohort community where you learn alongside peers from different industries and backgrounds. Bring your questions, share your work, and get input from people solving similar problems in different contexts.

Certificate of Completion

"Sustainable AI" certificate issued upon completing the program - formatted and optimised to be added directly to your LinkedIn profile as a credential, giving you a visible, verifiable signal to recruiters and hiring managers that you have done the work.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

4 live sessions • 3 projects

Week 1

Aug 6—Aug 9

    Aug

    6

    Climate Harms of AI and the Net Climate Impact of AI

    Thu 8/63:30 PM—5:30 PM (UTC)

    Weekly Project

    1 item

Week 2

Aug 10—Aug 16

    Aug

    13

    Climate Benefits of AI + AI and Climate: Law, Governance, Justice, and Ethics

    Thu 8/133:30 PM—5:30 PM (UTC)

    Weekly Project

    1 item

Free resources

Schedule

Live sessions

2 hrs / week

2 hours of in-class time

    • Thu, Aug 6

      3:30 PM—5:30 PM (UTC)

    • Thu, Aug 13

      3:30 PM—5:30 PM (UTC)

    • Thu, Aug 20

      3:30 PM—5:30 PM (UTC)

    • Thu, Aug 27

      3:30 PM—5:30 PM (UTC)

Projects

1-3 hrs / week

Up to 3 hours of project work outside of class

Async content

1 hr / week

Optional extra material

Testimonials

  • I've worked in Energy and DERs for over 10 years and took an AI in Energy Solutions course from Jennifer. Her depth and breadth of knowledge in both Energy and AI was apparent in her classes. She effectively gathered a group of students with varying exposure to each topic into solution with realistic and viable capstone results that will affect the future of energy across the world. Her depth of knowledge was extensive and her approachable demeanor allowed for a dynamic and effective class with both MIT students and industry professionals. I highly recommend Jennifer as an experienced, data driven innovator in the energy sector.

    Testimonial author image

    Beth Crouchet

    Director Energy Markets & Virtual Power Plants, Budderfly | TIME Magazine Award Winning Inventor 2025
  • Jennifer Turliuk has made several presentations for the Climate Collective community over the last couple of months. She always shows up in a professional and prepared way. One thing that really stands out to me is how she blends her expertise and credibility (MIT, data center impact modelling, etc) with humility and humanity for the moment we're in, things we don't yet know and bigger questions/topics she's tracking. Our nonprofit audience particularly appreciate how she brings concrete suggestions for how they can take action on her data and findings. Her blend of being an excellent educator, curious mind and well prepared has resulted in us bringing her back as an expert lecturer again and again.

    Testimonial author image

    Anna Lerner Nesbitt

    CEO @ Climate Collective
  • I took Jennifer's course, MIT IAP AI for Energy Solutions, with a sense of excitement and trepidation.

    I had some knowledge of AI and was interested in how it could help us combat Climate Change.

    However, I'm by no means an expert and I was concerned the course would go over my head.

    Fortunately, I shouldn't have worried. Jennifer's teaching style is so warm and inclusive that I immediately felt comfortable.

    She went out of her way to ensure the course was understandable and brilliantly explained a lot of difficult AI concepts.

    Jennifer's teaching was so skillful that I gained confidence with each lesson.

    I walked away informed and inspired. Jennifer is a beacon of light in what can be a dark and complicated AI world. I can't recommend her highly enough.

    Testimonial author image

    Kylie Johnson

    Co-founder of the Green Sphere Project, Churchill Fellow
  • Jennifer was my professor for MIT's AI for Energy course– she was exceptional. The class was a 4-week deep dive into the application of AI to address energy challenges. The speed with which Jennifer was able to get us actually building AI applications went beyond my expectations for the course. She kept the topics approachable throughout, and lined up impressive expert speakers for in-class Q&A, including AI developers, founders, and a former DOE official (Jennifer is a super-connector). I left the course with a strong sense of the current state of AI and the experience of having built a working AI application. I'm grateful for the chance to learn from (and cross paths) with Jennifer.

    Testimonial author image

    Michael Hendrix

    Marketing Lead, Civic Roundtable

Frequently asked questions

$1,999

USD

Aug 6Aug 27
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