Generative AI for Sustainability

Generative AI for Sustainability

Instructor: AI CERTs Team

Access provided by La Dreamer & Daisy Helping Hands Foundation Inc

11 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

11 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week 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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Assessments

10 assignments

Taught in English

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There are 11 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.

Introduces the fundamentals of Artificial Intelligence (AI) and its role in advancing sustainability goals. This module explores the relationship between AI technologies and environmental, social, and economic sustainability, highlighting key applications and opportunities for using AI to address global sustainability challenges.

What's included

6 videos1 assignment1 plugin

6 videosTotal 30 minutes

Course Introduction7 minutes
1.1 Overview of Artificial Intelligence4 minutes
1.2 Introduction to Sustainability3 minutes
1.3 Sustainability Challenges6 minutes
1.4 Introduction to Multi-Agent Systems6 minutes
1.5 Case Study: AI Models for Climate Change Prediction4 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

1 pluginTotal 5 minutes

Activity: MCQ5 minutes

Covers essential AI techniques and methodologies used to develop sustainability-focused solutions. Learners will explore machine learning, deep learning, data analytics, predictive modeling, and optimization approaches that enable organizations to improve resource efficiency and environmental decision-making.

What's included

9 videos1 assignment1 plugin

9 videosTotal 45 minutes

2.1 Understanding Sustainability Challenges and Global Responses5 minutes
2.2 Applying Supervised Learning for Environmental Forecasting and Classification5 minutes
2.3 Case Study: Predicting Air Quality in Beijing: A Machine Learning Approach 4 minutes
2.4 Unsupervised Learning for Environmental Insights and Resource Optimization3 minutes
2.5 Dimensionality Reduction in Sustainability: Case Study on Precision Agriculture Using Unsupervised Learning5 minutes
2.6 Basics of Reinforcement Learning5 minutes
2.7 Applications of Reinforcement Learning in Resource Management and Case Study: Smart Water Grid Optimization in Barcelona6 minutes
2.8 The Environmental Impact of AI Systems4 minutes
2.9 Designing Energy-Efficient AI Models for Sustainability6 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

1 pluginTotal 5 minutes

Activity: Tab5 minutes

Explores how AI supports climate change mitigation efforts through emissions monitoring, climate modeling, renewable energy optimization, carbon footprint analysis, and sustainable resource planning. This module highlights AI-driven approaches for reducing environmental impact and supporting climate action.

What's included

7 videos1 assignment1 plugin

7 videosTotal 39 minutes

3.1 Predictive Models for Weather and Climate Pattern 8 minutes
3.2 Machine Learning for Climate Change Forecasting4 minutes
3.3 AI-Based Risk Assessment and Mitigation 5 minutes
3.4 Grid Optimization and Energy Storage with AI7 minutes
3.5 Demand Forecasting for Energy Consumption4 minutes
3.6 AI Tools for Calculating and Reducing Carbon Footprints +5 minutes
3.7 AI-Powered Emission Monitoring Systems6 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

1 pluginTotal 5 minutes

Activity: Case Study5 minutes

Examines the application of AI in creating efficient and resilient energy systems. This module covers AI-enabled renewable energy forecasting, smart grids, energy demand prediction, energy optimization, and technologies that support the transition toward cleaner and more sustainable energy solutions.

What's included

7 videos1 assignment1 plugin

7 videosTotal 47 minutes

4.1 Predictive Maintenance in Energy Systems7 minutes
4.2 AI for Smart Grids and Dynamic Energy Distribution +6 minutes
4.3 AI Applications for Wind and Solar Power Management8 minutes
4.4 Real-Time Monitoring of Renewable Energy Sources + Optimizing Energy Production with AI7 minutes
4.5 Energy Storage Management Using AI5 minutes
4.6 Load Balancing for Energy Grids7 minutes
4.7 AI for Optimizing Battery Performance and Storage Solutions7 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

1 pluginTotal 5 minutes

Activity: Hotspot5 minutes

Explores how AI technologies enhance agricultural sustainability through precision farming, crop monitoring, yield prediction, soil analysis, pest detection, and resource optimization. Learners will understand how AI can support food security while reducing environmental impact.

What's included

8 videos1 assignment1 plugin

8 videosTotal 44 minutes

5.1 AI for Efficient Water Use and Irrigation5 minutes
5.2 Soil Health Monitoring and Management with AI6 minutes
5.3 Crop Yield Prediction Using Machine Learning7 minutes
5.4 Machine Learning Models for Crop Disease Identification5 minutes
5.5 AI-Powered Drones and AI Applications for Sustainable Crop Health and Pesticide Management 6 minutes
5.6 AI-Driven Decision-Making for Farm Management5 minutes
5.7 Automation in Farming, Resource Usage Reduction, and AI-Powered Market Forecasting in Agriculture6 minutes
5.8 Case Study – AI in Precision Agriculture5 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

1 pluginTotal 5 minutes

Activity: Tab5 minutes

Introduces AI applications in waste reduction, recycling, resource recovery, and circular economy models. This module explains how AI-powered systems can improve waste sorting, optimize collection processes, and support sustainable production and consumption practices.

What's included

9 videos1 assignment1 plugin

9 videosTotal 33 minutes

6.1 Machine Learning in Waste Classification6 minutes
6.2 Smart Recycling Systems Powered by AI4 minutes
6.3 AI Applications in Waste-to-Energy Conversion3 minutes
6.4 Predicting Energy Production from Waste3 minutes
6.5 Optimizing Waste Processing Plants with AI4 minutes
6.6 AI in Material Recovery and Reprocessing4 minutes
6.7 Minimizing Waste through AI-Driven Design4 minutes
6.8 AI Models for the Circular Economy in Industries3 minutes
6.9 Case Study: AI for Waste Sorting and Recycling3 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

1 pluginTotal 5 minutes

Activity: Problem Statement5 minutes

Examines the use of AI for protecting ecosystems and monitoring environmental changes. Learners will explore AI

What's included

10 videos1 assignment1 plugin

10 videosTotal 43 minutes

7.1 Satellite Imagery Analysis with AI5 minutes
7.2 AI for Deforestation and Land Use Change Detection5 minutes
7.3 Monitoring Water Bodies and Forests with Remote Sensing5 minutes
7.4 AI-powered Solutions for Species Tracking4 minutes
7.5 Machine Learning for Identifying and Protecting Endangered Species4 minutes
7.6 AI for Monitoring Poaching and Illegal Activities4 minutes
7.7 Ecosystem Modeling and Restoration using AI4 minutes
7.8 Monitoring Biodiversity with Machine Learning4 minutes
7.9 Predicting the Impact of Human Activities on Ecosystems4 minutes
7.10 Case Study: AI for Deforestation Monitoring4 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

1 pluginTotal 5 minutes

Activity: True and False5 minutes

What's included

10 videos1 assignment1 plugin

10 videosTotal 43 minutes

8.1 Predictive Modeling for Water Demand Forecasting5 minutes
8.2 AI Applications for Drought Prediction4 minutes
8.3 Optimizing Water Use with AI in Agriculture and Urban Settings5 minutes
8.4 AI-powered Irrigation Optimization5 minutes
8.5 IoT and Machine Learning for Water Management5 minutes
8.6 Precision Irrigation Systems and Their Environmental Benefits4 minutes
8.7 AI for Water Contamination Detection6 minutes
8.8 Real-time Monitoring of Water Bodies Using AI4 minutes
8.9 Machine Learning Models for Water Purification4 minutes
8.10 Case Study: AI for Smart Irrigation Systems3 minutes

1 assignmentTotal 30 minutes

Quiz 830 minutes

1 pluginTotal 5 minutes

Activity: Accordion5 minutes

What's included

10 videos1 assignment1 plugin

10 videosTotal 51 minutes

9.1 AI For Energy-Efficient Buildings and Urban Planning5 minutes
9.2 Smart Grids, Transportation, and Waste Management Systems6 minutes
9.3 AI-Driven Solutions For Urban Air Quality Monitoring5 minutes
9.4 AI in Autonomous Vehicles and Electric Transportation5 minutes
9.5 Smart Traffic Management with AI5 minutes
9.6 AI-Powered Solutions For Sustainable Public Transport5 minutes
9.7 Optimizing Resource Consumption in Cities Using AI6 minutes
9.8 AI For Waste Reduction and Management in Urban Settings6 minutes
9.9 Real-Time Urban Monitoring and Data Analysis7 minutes
9.10 Case Study: AI for Urban Air Quality Monitoring3 minutes

1 assignmentTotal 30 minutes

Quiz 930 minutes

1 pluginTotal 5 minutes

Activity: Scenario5 minutes

What's included

4 videos1 assignment

What's included

3 videos

Instructor

AI CERTs Team

AI CERTs

62 Courses63,411 learners

Offered by

AI CERTs

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