Sustainable AI - Reducing Carbon Footprint and Optimizing Performance

4.3

(3 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.

Last chance to enroll

3

days

17

hours

37

mins

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

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

02

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

03

This course empowers AI/ML Engineers and Data Scientists to reduce the carbon footprint of their workloads while optimizing performance.

04

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

05

AI/ML Product Managers can differentiate their offerings 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.

Sustainable deployment in the cloud

Learn about the tools available for deploying your AI workload in the most energy efficient way, including cloud services and GPU optimization techniques. How do you continuously monitor its carbon footprint?

Demonstrate to 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

    Jul 16—Jul 21

    Week dates are set to instructor's time zone

    Events

    • Jul

      16

      Session 1: Environmental Impact of AI

      Tue, Jul 16, 7:00 PM - 8:30 PM UTC

    • Jul

      18

      Office Hours Week 1

      Thu, Jul 18, 7:00 PM - 9:00 PM UTC

    Modules

    • Week 1: Environmental Impact of AI

  • Week 2

    Jul 22—Jul 28

    Week dates are set to instructor's time zone

    Events

    • Jul

      23

      Session 2: Energy Efficient Model training and inference

      Tue, Jul 23, 7:00 PM - 8:30 PM UTC

    • Jul

      25

      Office Hours Week 2

      Thu, Jul 25, 7:00 PM - 9:00 PM UTC

    Modules

    • Energy-efficient Model Training and Inference

  • Week 3

    Jul 29—Jul 30

    Week dates are set to instructor's time zone

    Events

    • Jul

      30

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

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

    Modules

    • Green Software Development and Implementation for AI/LLM Applications

4.3

(3 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 2

$399

Dates

July 16—30, 2024

Payment Deadline

July 16, 2024

Don't miss out! Enrollment closes in 4 days

|

Bulk purchases

Course schedule

3.5 hours per week
  • Tuesdays

    12:00pm - 1:30pm PST


  • June 11,18, 25 2024

    12pm-1:30pm 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 2

$399

Dates

July 16—30, 2024

Payment Deadline

July 16, 2024

Don't miss out! Enrollment closes in 4 days

|

Bulk purchases

$399

4.3

(3)

·

3 Weeks