Cohort 1

Build expertise in AI sustainability, the fastest-growing emissions challenge, and drive measurable impact

Thought Leader in Digital Sustainability

Pascal Joly

Sustainability Tech Expert: AI Carbon Measurement Pioneer & IT Climate Educator


Sustainable AI - From Impact to Implementation

Learn how you can reduce the Carbon Footprint of your AI applications in the Cloud and Optimize Performance and Cost.


Nagarro

Hewlett Packard Enterprise

Cepheid

Google

Autodesk

In just 4 weeks, this course will enable you to:- Measure the carbon footprint of AI applications- Reduce AI energy usage (by 100x) through smart architecture choices- Optimize your AI workloads to decrease their energy consumption by 80%- Convince other stakeholders on the ROI behind sustainable AI practices I offer 2 weekly live sessions (covering the same material) to accommodate different scheduling options and larger groups. You will also get 2 weekly sessions of optional office hours where we can dive into questions covering your specific context.Each week, a hands on project will allow you to practice what you've learned in the class. Your final capstone project will give you the means to directly apply your learnings in your job and/or your community. In addition, I also invite guest speakers in the AI field to share industry best practices. In cohort 4, we'll have speakers from Salesforce.com and Turo. All alumni are welcome to attend. * This is not just a course about LLMs: we discuss many other AI techniques that can be 100x more energy efficient. * You don't need to be a developer or an AI scientist to get value from this course, but it helps to have some engineering/technical background. To inquire about group discounts or corporate courses reach me at pascal@itclimateed.com

Transform AI's environmental impact: make AI work for the planet, not against it


IT and Sustainability Consultants will gain the expertise to advise clients on sustainable AI/ML strategies and implementation.

CTOs, CIOs and Technology Leaders who own their organization's technology strategy and investments.

Product Managers can differentiate their offerings in the AI space by incorporating sustainable practices from the ground up.

If you are in the midst of a career transition in the climate tech field, you will gain some valuable background on top of mind topics.

Who is this course for

What you will get out of this course:


AI has a large environmental impact: from datacenter energy and water consumption, to hardware lifecycle. We'll cover several open source tools to help you measure AI's carbon footprint.

Learn about the environmental impacts of AI and how to measure its carbon footprint


Not all AI technologies are created equal when it comes to their carbon footprint. Learn how to choose the appropriate approach using sufficiency principles. What are the trade-offs to minimize your AI energy consumption?

Choose the right AI approach


Whether you are a daily user of AI or a product manager building on top of AI technology, learn how to optimize your usage and development to minimize its environmental footprint. We'll review several techniques with hands on labs and exercises.

Learn efficient AI usage


Adopting sustainable practices also has a direct impact on lowering the costs of AI cloud usage. It can be a powerful lever to justify to your management the ROI of AI applications development and adoption.

Demonstrate to your management the ROI of AI applications


In your final project, you will build and present a proposal in the context of your job or community. Putting together all the learnings from the class for your use case, you will be equipped with an action plan that you can directly apply to your line of work.

Apply what you learned with final capstone project


Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

What people are saying

Meet your instructor

Tuesday Live sessions


Thursday office hours


Homework assignments will include hands on practice based on real world use cases and a final capstone presentation.

Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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About this course

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