Sustainable AI - Reducing Carbon Footprint and Optimizing Performance

4.2

(6 ratings)

·

3 Weeks

·

Cohort-based Course

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

Course overview

Optimize your AI applications for sustainability

This course will enable you to understand the environmental impact of AI applications, how to monitor and optimize your AI workloads to minimize their energy consumption, increase performance and decrease cost.

Who is this course for

01

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.

02

CTOs, CIOs and Technology Leaders who shape an organization's technology strategy and investments.

03

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

04

DevOps professionals and Cloud Engineers can use the knowledge from this class to incorporate sustainable practices into their workflows.

05

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

What you will get out of this course:

Learn about the environmental impact of AI

AI has a large impact on datacenter usage, server energy consumption, GPUs and data storage. How do you measure it and what are the consequences.

Architect and Design a sustainable AI application

From LLM optimization techniques, to parameter tuning, we'll explore best practices to architect and design a sustainable AI application.

Demonstrate to your management the ROI of AI applications

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.

Industry trends in the field of sustainable AI

What are the most promising trends to limit the environmental impact of AI LLM and make its growth more sustainable.

End to end case study

Discover real life examples and understand how leaders in the space have implemented these practices.

This course includes

5 interactive live sessions

Lifetime access to course materials

15 in-depth lessons

Direct access to instructor

3 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Oct 8—Oct 13

    Events

    • Oct

      8

      Session 1: Environmental Impact of AI

      Tue, Oct 8, 7:00 PM - 8:30 PM UTC

    • Oct

      10

      Office Hours Week 1

      Thu, Oct 10, 7:00 PM - 8:00 PM UTC

  • Week 2

    Oct 14—Oct 20

    Events

    • Oct

      15

      Session 2: Energy Efficient Model training and inference

      Tue, Oct 15, 7:00 PM - 8:30 PM UTC

    • Oct

      17

      Optional: Office Hours week 2

      Thu, Oct 17, 7:00 PM - 8:00 PM UTC

  • Week 3

    Oct 21—Oct 22

    Events

    • Oct

      22

      Session 3: Green Software Development and Implementation for AI/LLM Applications

      Tue, Oct 22, 7:00 PM - 8:30 PM UTC

  • Post-Course

    Modules

    • Week 1: Environmental Impact of AI

    • Energy-efficient Model Training and Inference

    • Green Software Development and Implementation for AI/LLM Applications

4.2

(6 ratings)

What students are saying

Meet your instructor

Pascal Joly

Pascal Joly

Sustainability Consultant, IT Climate Ed

With over 25 years of IT experience and a deep passion for environmental sustainability, Pascal is a renowned sustainability consultant dedicated to helping organizations drive meaningful progress towards a greener future. As the instructor of this MasterClass, Pascal brings a wealth of expertise in optimizing digital transformation initiatives and mitigating the effects of climate change.

Drawing from his extensive background, Pascal offers a comprehensive suite of services - from engaging educational climate workshops to expert green IT consulting and cloud partnership strategy.

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Join an upcoming cohort

Sustainable AI - Reducing Carbon Footprint and Optimizing Performance

Cohort 3

$399

Dates

Oct 8—22, 2024

Application Deadline

Oct 7, 2024
|

Bulk purchases

Course schedule

3.5 hours per week

  • Tuesday Live sessions

    12:00pm - 1:30pm PST


  • Thursday office hours

    12pm-1:00pm PST


  • Weekly projects

    2 hours per week

    Homework assignments will include quiz, presentations and other research topics.

Free resource

Sustainable AI: How to Get started

How can you optimize your AI application to minimize its energy consumption 💡 and cost 💰 while maintaining its performance?

In this recorded presentation, I go over the environmental impact of AI and some of the key principles to get you started with optimization in this nascent and rapidly evolving field.

You will also get a sneak preview of my 3 week course.

Get this free resource

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

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

Learn with a cohort of peers

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

Frequently Asked Questions

What happens if I can’t make a live session?

I work full-time, what is the expected time commitment?

What’s the refund policy?

What are the pre-requisites for this course?

Can I get reimbursed by my company for this class?

Stay in the loop

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

Sustainable AI - Reducing Carbon Footprint and Optimizing Performance

Cohort 3

$399

Dates

Oct 8—22, 2024

Application Deadline

Oct 7, 2024
|

Bulk purchases

$399

4.2

·

3 Weeks