James Martin

Making tech more sustainable and responsible, through training and consulting

Using AI without costing the earth: Frugal AI

Generative AI impacts the planet at least 3 times more than previous IT services

Problem: AI's impacts are huge, and growing

Do we always have to use the most popular AI services? They're often the most impactful

Challenge: Question the "big AI" habit

AI's impacts can be reduced by hundredfolds, by leveraging Frugal AI - if you do need AI at all :)

Solution: Frugal AI is a game-changer

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


Cohort 16

Cohort 17

In just 4 weeks, this course will enable you to:<ul><li>Understand AI's environmental impact and sustainable AI principles</li><li>Measure AI's carbon footprint using industry frameworks</li><li>Optimize AI workloads to reduce carbon and cost</li><li>Build ROI cases to justify sustainable AI strategies to leadership/clients</li></ul>What's included:<ul><li>1 weekly 90min live session</li><li>1 weekly optional office hour session</li><li>Hands-on weekly projects applying real-world use cases</li><li>Final capstone project: build and present your own action plan</li><li>Monthly guest speaker sessions with industry experts and alumni</li><li>Lifetime access to recordings and course materials</li><li>Community of peers for ongoing learning</li></ul>Questions or group discounts? Contact pascal@itclimateed.com

Master sustainable AI: measurement, optimization, strategy.


Understand AI's environmental impact

Master Sustainable AI principles

Learn measurement frameworks

Build optimization strategies

Understand ROI and regulations

Create your implementation roadmap

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

Sustainability Managers build expertise to lead your organization's sustainable AI initiatives and drive impact.

Product Managers will develop deep AI sustainability knowledge to enhance your product offerings and differentiate in the market.

Understand AI's environmental cost. Master carbon and water impacts. Become a credible expert on AI and Sustainability.

Sustainability Director at Brightest

Nina Benoit

Director of Sustainability at Brightest & Host of the AI Sustainability Podcast

Cohort 2026 

You're navigating a critical time: climate goals matter more than ever, but AI adoption is accelerating at a crazy pace.Whether you're leading sustainability efforts in your organization, advising clients on responsible AI, or building expertise as you enter the field, we all have the same questions."What's the real carbon cost of different AI models? What about water consumption?"Yet it's hard to get information and nothing brings it all together into a coherent framework.This course changes that.You'll learn the real numbers: how different AI models consume energy and water differently, what drives carbon emissions in training versus inference, and how to lower your footprint. Then you'll master the practical side: which models to use for your sustainability work and how to implement AI tools that makes you life easier and get ahead of the curve.After completing this course, you will have a clearer perspective on the pros and cons of using AI, when to use it and how to leverage it for sustainability.

A practical guide for sustainability professionals wanting to use AI.

Understand the Environmental Footprint of AI

Learning how to minimize your footprint

Learning how to use AI for Sustainability 

Sustainability managers and directors

Career transition to sustainability

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

Explore the climate harms and benefits of AI, and strategies for making AI more sustainable.

Cohort 1

Taught Sustainable AI course at MIT

Jennifer Turliuk

Taught Sustainable AI at MIT

Cohort 2

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!

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

Evaluate the net climate impact of AI systems

Identify strategies to reduce AI’s climate impacts

Build a sustainable AI project 

Define your role in the future of sustainable AI

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

No technical skills required

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

Build your first AI agent, audit your role, and leave with an artifact you can demo in any 1:1, skip-level, or job interview.   

 

AI Strategist, Author, Keynote Speaker

Alibaba Group

Pattern

Samsung

Intel

Antler

Sharon Gai

Former Alibaba executive who now builds and runs her own AI agent workforce.

Summer Cohort 

You are not behind because you have not tried. You have read the articles. You have a ChatGPT tab open right now. You probably paid for Claude Pro at some point and let it lapse because you could not figure out what to do with it.The problem is not access to AI. The problem is that nobody has taught you how to use it the way the people pulling ahead at your company are using it.Meanwhile, the pressure keeps building. Your boss asked in your last 1:1 what your team is doing with AI, and your answer did not feel solid. A peer casually mentioned the agent they built last weekend. Job postings now list AI fluency as a requirement, and you are not sure you would pass.This course closes that gap. Four live sessions, no homework. You build a working AI agent for your actual job, run a personal audit on what AI absorbs and what stays uniquely yours, and leave with an artifact you can demo in a team meeting, a skip-level, or a job interview.The cost of doing nothing is not zero. It is the cost of being the person still asking what AI can do, while someone else is showing them.

You have read the articles. You use ChatGPT. You still feel behind.

Identify what AI absorbs and what stays uniquely yours

Build and ship your first working AI agent

Rebuild one piece of your recurring work output with AI in the loop.  

Build AI systems that knows how you work and who you work with

Loop Engineering 

ChatGPT Work 

The Squeezed Middle Manager: You manage a team of 3 to 15 people. Your boss is asking what you're doing with AI.

The Working Professional in Transition: You're between jobs or quietly looking. Hiring managers now expect AI fluency.

The Ambitious IC: You're an individual contributor who wants to bring AI capability to your team

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Broad professional audience — content relevant across many roles and functions.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Establishing policies, ethics frameworks, and oversight for responsible AI use in organizations.

Using AI without costing the earth: Frugal AI

What you'll learn

Why this topic matters

You'll learn from

James Martin