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Generative AI for Sustainability 2026 (Udemy.com)

Chat GPT | Ethical AI | Decarbonisation | Circularity | ESG | Regulatory Compliance | Environmental Management

Created by: Harry James

Last updated January 2026

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What you will learn

  • Understand what Generative AI is and key definitions
  • Understand how Gen AI is already being used in sustainability applications in industry
  • Identify how Gen AI could be used in your day-to-day sustainability career
  • Know the impact of Gen AI on sustainability and the future of AI
  • Understand the key principles of long-term success with Gen AI

How it compares

Against the other 1,210 rated Udemy courses in Business on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews7,919#105 of 1,211 by number of reviews
  • Length2.6 hoursshorter than 54% of them
  • Last updatedJanuary 2026more recently than 58% of them

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Course Description

Unlock the power of AI to drive your sustainability career forward

The sustainability landscape is evolving—and so are the tools we use to make an impact. Generative AI is reshaping how we innovate, analyze, and solve environmental challenges. This concise, practical course is designed specifically for sustainability professionals and students who want to stay ahead of the curve and use cutting-edge tools to amplify their impact.

This course is split up into 4 main sections:

  1. Introduction: Understanding the importance of Generative AI for Sustainability Professionals and how the AI revolution will impact your sustainability career.

  2. Fundamentals of Generative AI & Sustainability: Explaining the fundamental principles and definitions of Generative AI, Sustainability & ESG to set you up for the more technical modules of the course.

  3. Industry Use Cases & Real Life Case Studies: Exploring how Generative AI can actually support you in your sustainability career through data management, supply chain management, decarbonisation, circularity, regulatory compliance, stakeholder engagement & many more! Including real-life case studies where businesses are already using Generative AI to improve their sustainability performance.

  4. Sustainability Impacts of Generative AI & Next Steps: Discussing the risks of Generative AI to Environmental, Social and Economic Sustainability. Covering the Future of Generative AI and the Key Principles of long-term success with AI. 

In just over 2 hours, you’ll gain a solid foundation in how generative AI works, and more importantly, how to apply it meaningfully in your day-to-day sustainability work. From streamlining carbon reporting and stakeholder engagement to developing training, crafting policy documents, or uncovering new reduction strategies—AI is your next must-have skillset.

Whether you’re in corporate sustainability, ESG, environmental consulting, or a student looking to set yourself apart in the world of work, this course is your gateway to becoming future-ready in a world where AI is no longer optional.

  • No technical background required

  • Designed for real-world application

  • Actionable tools, tips, and case studies

  • Built by sustainability experts for sustainability experts

Don’t get left behind—learn how to work with AI, not against it. Enroll today and future-proof your career.

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Instructor Details

Harry James

The world of sustainability can be confusing and expensive. Harry James believes that it doesn't need to be. The sustainability field is full of technical jargon and eye-watering costs for training. In order to solve the climate crisis, Harry believes that sustainability training should be clear and practical. He is on a mission to empower organisations and individuals around the world to implement sustainability within their day-to-day life, with practical and clear guidance.

Harry is currently a Principal Sustainability Manager at a global consultancy, where he leads a dedicated team in implementing the company’s sustainability strategy. With extensive experience in the UK built environment industry, he has contributed to major infrastructure projects across the country.

In recognition of his contributions to sustainability, Harry's work has been nominated for numerous awards throughout his career, including British Construction Industry Awards' Environment and Sustainability Initiative of the Year, the Techfest Awards' Low Carbon Initiative of the Year and CN Awards' Best Use of Technology.

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Reviews

4.5

7,919 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Maciej Nowak on 9/22/2026

This is the best course on artificial intelligence. It is a great opportunity for me to learn about new technologies. Thank you for giving me the opportunity to participate in this training.

By Felipe Carlucci on 9/22/2026

Complete course and a good starting point to understand the importance of AI in sustainability.

By Christos Dellios on 9/4/2026

Gobally interesting, really. It's a pity that the subtitles sometimes don't match the narration. Were they AI generated ?

By Christopher Enebeli on 9/3/2026

This course is very well presented and focused on the teaching of AI and Sustainability and how this can be integrated into our day to day working environment. Beautiful course ,very well presented and easy to comprehend.

By Patnam Reshma on 8/25/2026

Good by Alerting human's to upgrade their skill & don't rely more on AI as it reduces the capabilities of human & makes them lazy.Pros & cons are very well explained

By Mahesh Choondakandy on 8/17/2026

Sustainability is an emerging concern globally on account of Green globe initiation. Great learning experience through well narrated examples.

By Pranali Shashikant Acharekar on 6/22/2026

It talks more depth about AI, why it is necessary, how sustainability can be maintained & how it has to be used & compliance & governance can be maintained.

By Arnaud BOUE on 6/19/2026

As AI goes fast , the content published and documented in 2024 seems out dated on some aspects to my point of view More generally, I found it not enough agnostic of US businesses and other economic dynamics (might be correlated to my 1st point though). Europe has pretty powerful and growing AI solutions which aim to embrace a more ethical approach. this are even not mentionned. I also face difficulties in hearing that AI can be seen and used as a mentor especially when this statement is made just before the fact that AI outcome requires a step back and a human check to avoid misinformation, misinterpretation and to spot hallucinations. I would also add that seeing AI as a potential motivational support rimes to me like relying on something which is not embodied by the human being which seeks for this support. Experience and personal path made me witnessing repeatedly the approach relying on an outside source leads to dependency as best (no interest to promote then if the goal is to build strong brain capacity vs transactional human machines). This chapter conveys to my point of view a totally immature message which is a major issue when it falls into a ww training

By Vipin Bhopatkar on 6/18/2026

Enjoyed listening to Harry James and all the topics on Sustainability with AI. Thank you.

By Kazi Masud Hasan on 4/6/2026

Hi, This course helps to understand basic of generative AI and I was expecting more on practical examples, real life case studies on current scenerio on Generative AI, Packaging materials and sustainability, future tredns

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Overall Score : 90 / 100