Sustainable AI - Reducing Carbon Footprint and Optimizing Performance
4.2 (6)
4 Weeks
·Cohort-based Course
Learn how you can reduce the Carbon Footprint of your AI applications in the Cloud and Optimize Performance and Cost.
Sustainable AI - Reducing Carbon Footprint and Optimizing Performance
4.2 (6)
4 Weeks
·Cohort-based Course
Learn how you can reduce the Carbon Footprint of your AI applications in the Cloud and Optimize Performance and Cost.
Taught, Advised and Worked for
Course overview
Transform AI's environmental impact: make AI work for the planet, not against it
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
Who is this course for
01
IT consultants will gain the expertise to advise clients on sustainable AI/ML strategies and implementation.
02
CTOs, CIOs and Technology Leaders who own their organization's technology strategy and investments.
03
DevOps professionals and Cloud Engineers can use the knowledge from this class to incorporate sustainable practices into their workflows.
04
Product Managers can differentiate their offerings in the AI space by incorporating sustainable practices from the ground up.
05
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.
What you will get out of this course:
Learn about the environmental impacts of AI and how to measure its carbon footprint
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.
Choose the right AI approach
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?
Learn efficient AI usage
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.
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.
Apply what you learned with final capstone project
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.
This course includes
15 interactive live sessions
Lifetime access to course materials
17 in-depth lessons
Direct access to instructor
4 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.
Sustainable AI - Reducing Carbon Footprint and Optimizing Performance
Course syllabus
Week 1
Week 1: Environmental Impact of AI and How to Measure it
Mar
4
Session 1: Environmental Impact of AI and how to measure it
Mar
6
Office Hours Week 1
Mar
5
Optional: Session 1: Environmental Impact of AI and how to measure it
Mar
7
Optional: Office Hours week 1
Week 2
Sufficiency principles: How to apply them in the context of AI?
Mar
11
Session 2: Sufficiency principles and applications
Mar
13
Optional: Office Hours week 2
Mar
11
Optional: Session 2: Sufficiency principles and applications
Mar
13
Optional: Office Hours week 2
Week 3
Green Software Development and Implementation for AI/LLM Applications
Energy-efficient Model Training and Inference
Final Project
Mar
18
Session 3: Optimizing usage of AI
Mar
20
Guest Speaker presentation and case study: SalesForce.com
Mar
20
Optional: Office hours week 3
Mar
18
Optional: Session 3: Optimizing usage of AI
Mar
20
Optional: Office Hours week 3
Week 4
Mar
25
Session 4: Final project presentations
Mar
25
Optional: Session 4: Final project presentations
4.2 (6 ratings)
What students are saying
Meet your instructor
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.
Join an upcoming cohort
Sustainable AI - Reducing Carbon Footprint and Optimizing Performance
Cohort 4
$899
Dates
Application Deadline
Course schedule
3.5 hours per week
Tuesday Live sessions
8am-9:30am PST or 4:00pm - 5:30pm PST
Thursday office hours
8am-9am PST or 4pm-5pm PST
Weekly projects
1-2 hours per week
Homework assignments will include quiz, presentations and a final capstone presentation.
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
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
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Join an upcoming cohort
Sustainable AI - Reducing Carbon Footprint and Optimizing Performance
Cohort 4
$899
Dates
Application Deadline