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Generative AI for Sustainability

Generative AI for Sustainability

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply Generative AI to ESG Workflows: Use AI to organize sustainability data, draft disclosures, and create audit-ready reports.

  • Model Emissions and Scenarios: Estimate Scope 1–3 impacts, compare decarbonization options, and test transition scenarios with AI.

  • Optimize Sustainable Operations: Identify efficiency opportunities across energy, logistics, procurement, and resource use with AI insights.

  • Strengthen Governance and Reporting: Create supplier summaries, policy briefs, stakeholder updates, and traceable reports faster.

Details to know

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Recently updated!

April 2026

Assessments

9 assignments

Taught in English

There are 10 modules in this course

Generative AI is creating new ways for organizations to measure impact, improve decision-making, and accelerate sustainability goals.

The Generative AI for Sustainability Certification is designed for sustainability, ESG, operations, and consulting professionals who want to use AI-powered tools to improve reporting, analyze emissions, support resource planning, and build practical low-carbon strategies without coding. This course focuses on real-world sustainability use cases, including ESG data consolidation, emissions modeling, scenario planning, supplier assessments, regulatory disclosures, and stakeholder communication. You will learn how generative AI can help automate documentation, extract insights from complex data, and support better operational and supply chain decisions. Each module combines clear instruction with practical exercises. You will explore how to build AI-assisted calculators, draft audit-ready narratives, evaluate decarbonization options, and simulate transition pathways aligned with global frameworks. By the end, you will be able to apply generative AI to improve ESG reporting, reduce environmental risk, support smarter sustainability decisions, and drive measurable performance. Enroll in the Generative AI for Sustainability Certification Online to lead data-driven climate action and responsible growth.

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

What's included

10 videos1 reading1 assignment2 plugins

10 videosβ€’Total 77 minutes
  • Navigation Videoβ€’2 minutes
  • Audiobook: Module 1: Course Introductionβ€’6 minutes
  • Module 1: Course Introductionβ€’7 minutes
  • Audiobook: Module 1: Introduction to AI and Sustainabilityβ€’28 minutes
  • Podcast: Module 1: Introduction to AI and Sustainabilityβ€’13 minutes
  • 1.1 Overview of Artificial Intelligenceβ€’4 minutes
  • 1.2 Introduction to Sustainabilityβ€’3 minutes
  • 1.3 Sustainability Challengesβ€’6 minutes
  • 1.4 Introduction to Multi-Agent Systemsβ€’4 minutes
  • 1.5 Case Study: AI Models for Climate Change Predictionβ€’4 minutes
1 readingβ€’Total 10 minutes
  • Hands onβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 1β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 1: Introduction to AI and Sustainabilityβ€’15 minutes
  • ACTIVITY: Multiple Choiceβ€’15 minutes

What's included

11 videos2 readings1 assignment2 plugins

11 videosβ€’Total 89 minutes
  • Audiobook: Module 2: AI Techniques for Sustainability Solutionsβ€’27 minutes
  • Podcast: Module 2: AI Techniques for Sustainability Solutionsβ€’17 minutes
  • 2.1 Understanding Sustainability Challenges and Global Responsesβ€’5 minutes
  • 2.2 Applying Supervised Learning for Environmental Forecasting and Classificationβ€’5 minutes
  • 2.3 Case Study: Predicting Air Quality in Beijing: A Machine Learning Approach β€’4 minutes
  • 2.4 Unsupervised Learning for Environmental Insights and Resource Optimizationβ€’3 minutes
  • 2.5 Dimensionality Reduction in Sustainability: Case Study on Precision Agriculture Using Unsupervised Learningβ€’5 minutes
  • 2.6 Basics of Reinforcement Learningβ€’5 minutes
  • 2.7 Applications of Reinforcement Learning in Resource Management and Case Study: Smart Water Grid Optimization in Barcelonaβ€’6 minutes
  • 2.8 The Environmental Impact of AI Systemsβ€’4 minutes
  • 2.9 Designing Energy-Efficient AI Models for Sustainabilityβ€’6 minutes
2 readingsβ€’Total 20 minutes
  • Hands on 1β€’10 minutes
  • Hands on 2β€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 2β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 2: AI Techniques for Sustainability Solutionsβ€’15 minutes
  • ACTIVITY: Tabβ€’15 minutes

What's included

9 videos2 readings1 assignment2 plugins

9 videosβ€’Total 79 minutes
  • Audiobook: Module 3: ​AI for Climate Change Mitigationβ€’28 minutes
  • Podcast: Module 3: ​AI for Climate Change Mitigationβ€’13 minutes
  • 3.1 Predictive Models for Weather and Climate Pattern β€’8 minutes
  • 3.2 Machine Learning for Climate Change Forecastingβ€’4 minutes
  • 3.3 AI-Based Risk Assessment and Mitigation β€’5 minutes
  • 3.4 Grid Optimization and Energy Storage with AIβ€’7 minutes
  • 3.5 Demand Forecasting for Energy Consumptionβ€’4 minutes
  • 3.6 AI Tools for Calculating and Reducing Carbon Footprints +β€’5 minutes
  • 3.7 AI-Powered Emission Monitoring Systemsβ€’6 minutes
2 readingsβ€’Total 20 minutes
  • Hands on 1β€’10 minutes
  • Hands on 2β€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 3β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 3: ​AI for Climate Change Mitigationβ€’15 minutes
  • ACTIVITY: Case Studyβ€’15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videosβ€’Total 92 minutes
  • Audiobook: Module 4: ​AI in Sustainable Energy Systemsβ€’29 minutes
  • Podcast: Module 4: ​AI in Sustainable Energy Systemsβ€’16 minutes
  • 4.1 Predictive Maintenance in Energy Systemsβ€’7 minutes
  • 4.2 AI for Smart Grids and Dynamic Energy Distribution +β€’6 minutes
  • 4.3 AI Applications for Wind and Solar Power Managementβ€’8 minutes
  • 4.4 Real-Time Monitoring of Renewable Energy Sources + Optimizing Energy Production with AIβ€’7 minutes
  • 4.5 Energy Storage Management Using AIβ€’5 minutes
  • 4.6 Load Balancing for Energy Gridsβ€’7 minutes
  • 4.7 AI for Optimizing Battery Performance and Storage Solutionsβ€’7 minutes
1 readingβ€’Total 10 minutes
  • Hands onβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 4β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 4: ​AI in Sustainable Energy Systemsβ€’15 minutes
  • ACTIVITY: Hotspotβ€’15 minutes

What's included

10 videos2 readings1 assignment2 plugins

10 videosβ€’Total 82 minutes
  • Audiobook: Module 5: ​AI for Sustainable Agricultureβ€’22 minutes
  • Podcast: Module 5: ​AI for Sustainable Agricultureβ€’15 minutes
  • 5.1 AI for Efficient Water Use and Irrigationβ€’5 minutes
  • 5.2 Soil Health Monitoring and Management with AIβ€’6 minutes
  • 5.3 Crop Yield Prediction Using Machine Learningβ€’7 minutes
  • 5.4 Machine Learning Models for Crop Disease Identificationβ€’5 minutes
  • 5.5 AI-Powered Drones and AI Applications for Sustainable Crop Health and Pesticide Management β€’6 minutes
  • 5.6 AI-Driven Decision-Making for Farm Managementβ€’5 minutes
  • 5.7 Automation in Farming, Resource Usage Reduction, and AI-Powered Market Forecasting in Agricultureβ€’6 minutes
  • 5.8 Case Study – AI in Precision Agricultureβ€’5 minutes
2 readingsβ€’Total 20 minutes
  • Hands on 1β€’10 minutes
  • Hands on 2β€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 5β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 5: ​AI for Sustainable Agricultureβ€’15 minutes
  • ACTIVITY: Tabβ€’15 minutes

What's included

11 videos1 reading1 assignment2 plugins

11 videosβ€’Total 69 minutes
  • Audiobook: Module 6: AI in Waste Management and Circular Economy β€’20 minutes
  • Podcast: Module 6: AI in Waste Management and Circular Economy β€’16 minutes
  • 6.1 Machine Learning in Waste Classificationβ€’6 minutes
  • 6.2 Smart Recycling Systems Powered by AIβ€’4 minutes
  • 6.3 AI Applications in Waste-to-Energy Conversionβ€’3 minutes
  • 6.4 Predicting Energy Production from Wasteβ€’3 minutes
  • 6.5 Optimizing Waste Processing Plants with AIβ€’4 minutes
  • 6.6 AI in Material Recovery and Reprocessingβ€’4 minutes
  • 6.7 Minimizing Waste through AI-Driven Designβ€’4 minutes
  • 6.8 AI Models for the Circular Economy in Industriesβ€’3 minutes
  • 6.9 Case Study: AI for Waste Sorting and Recyclingβ€’3 minutes
1 readingβ€’Total 10 minutes
  • Hands onβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 6β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 6: AI in Waste Management and Circular Economy β€’15 minutes
  • ACTIVITY: Problem Statementβ€’15 minutes

What's included

12 videos1 reading1 assignment2 plugins

12 videosβ€’Total 80 minutes
  • Audiobook: Module 7: AI for Biodiversity Conservation and Environmental Monitoringduleβ€’20 minutes
  • Podcast: Module 7: AI for Biodiversity Conservation and Environmental Monitoringduleβ€’17 minutes
  • 7.1 Satellite Imagery Analysis with AIβ€’5 minutes
  • 7.2 AI for Deforestation and Land Use Change Detectionβ€’5 minutes
  • 7.3 Monitoring Water Bodies and Forests with Remote Sensingβ€’5 minutes
  • 7.4 AI-powered Solutions for Species Trackingβ€’4 minutes
  • 7.5 Machine Learning for Identifying and Protecting Endangered Speciesβ€’4 minutes
  • 7.6 AI for Monitoring Poaching and Illegal Activitiesβ€’4 minutes
  • 7.7 Ecosystem Modeling and Restoration using AIβ€’4 minutes
  • 7.8 Monitoring Biodiversity with Machine Learningβ€’4 minutes
  • 7.9 Predicting the Impact of Human Activities on Ecosystemsβ€’4 minutes
  • 7.10 Case Study: AI for Deforestation Monitoringβ€’4 minutes
1 readingβ€’Total 10 minutes
  • Hands onβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 7β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 7: AI for Biodiversity Conservation and Environmental Monitoringduleβ€’15 minutes
  • ACTIVITY: True or Falseβ€’15 minutes

What's included

12 videos1 reading1 assignment2 plugins

12 videosβ€’Total 79 minutes
  • Audiobook: Module 8: AI for Water Resource Managementβ€’21 minutes
  • Podcast: Module 8: AI for Water Resource Managementβ€’14 minutes
  • 8.1 Predictive Modeling for Water Demand Forecastingβ€’5 minutes
  • 8.2 AI Applications for Drought Predictionβ€’4 minutes
  • 8.3 Optimizing Water Use with AI in Agriculture and Urban Settingsβ€’5 minutes
  • 8.4 AI-powered Irrigation Optimizationβ€’5 minutes
  • 8.5 IoT and Machine Learning for Water Managementβ€’5 minutes
  • 8.6 Precision Irrigation Systems and Their Environmental Benefitsβ€’4 minutes
  • 8.7 AI for Water Contamination Detectionβ€’6 minutes
  • 8.8 Real-time Monitoring of Water Bodies Using AIβ€’4 minutes
  • 8.9 Machine Learning Models for Water Purificationβ€’4 minutes
  • 8.10 Case Study: AI for Smart Irrigation Systemsβ€’3 minutes
1 readingβ€’Total 10 minutes
  • Hands onβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 8β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 8: AI for Water Resource Managementβ€’15 minutes
  • ACTIVITY: Accordionβ€’15 minutes

What's included

12 videos2 readings1 assignment2 plugins

12 videosβ€’Total 93 minutes
  • Audiobook: Module 9: AI for Sustainable Cities and Smart Urban Developmentβ€’29 minutes
  • Podcast: Module 9: AI for Sustainable Cities and Smart Urban Developmentβ€’14 minutes
  • 9.1 AI For Energy-Efficient Buildings and Urban Planningβ€’5 minutes
  • 9.2 Smart Grids, Transportation, and Waste Management Systemsβ€’6 minutes
  • 9.3 AI-Driven Solutions For Urban Air Quality Monitoringβ€’5 minutes
  • 9.4 AI in Autonomous Vehicles and Electric Transportationβ€’5 minutes
  • 9.5 Smart Traffic Management with AIβ€’5 minutes
  • 9.6 AI-Powered Solutions For Sustainable Public Transportβ€’5 minutes
  • 9.7 Optimizing Resource Consumption in Cities Using AIβ€’6 minutes
  • 9.8 AI For Waste Reduction and Management in Urban Settingsβ€’6 minutes
  • 9.9 Real-Time Urban Monitoring and Data Analysisβ€’7 minutes
  • 9.10 Case Study: AI for Urban Air Quality Monitoringβ€’3 minutes
2 readingsβ€’Total 20 minutes
  • Hands on 1β€’10 minutes
  • Hands on 2β€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz 9β€’30 minutes
2 pluginsβ€’Total 30 minutes
  • Ebook: Module 9: AI for Sustainable Cities and Smart Urban Developmentβ€’15 minutes
  • ACTIVITY: Scenario Activityβ€’15 minutes

What's included

6 videos1 plugin

6 videosβ€’Total 62 minutes
  • Audiobook: Module 10: Capstone Project: Designing an AI Solution for a Sustainability Challengeβ€’29 minutes
  • Podcast: Module 10: Capstone Project: Designing an AI Solution for a Sustainability Challengeβ€’14 minutes
  • 10.1 Problem Identification and Data Collectionβ€’7 minutes
  • 10.2 Building and Implementing AI Modelsβ€’4 minutes
  • 10.3 Evaluation and Impact Assessmentβ€’2 minutes
  • Module 10: Course Summary β€’7 minutes
1 pluginβ€’Total 15 minutes
  • Ebook: Module 10: Capstone Project: Designing an AI Solution for a Sustainability Challengeβ€’15 minutes

Instructor

AI CERTs
58 Coursesβ€’43,878 learners

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Frequently asked questions

You will be able to use generative AI to streamline ESG reporting, analyze emissions, support sustainability planning, and improve decision-making across operations and strategy.

No. The course is built for non-technical sustainability and ESG professionals.

This course is designed specifically for sustainability professionals. It focuses on real ESG data, reporting needs, climate strategy, supplier evaluation, and operational use cases rather than broad AI theory.

Yes. You will work through case studies, data exercises, AI-assisted calculators, and disclosure drafting activities.

Yes. The course supports both in-house and advisory workflows, making it useful for consultants, ESG teams, operations leaders, and corporate sustainability professionals.

Yes. You will earn the Generative AI for Sustainability Certification upon completion.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,