Generative AI for Sustainability is a practical course designed to help learners understand, apply, and implement AI-driven solutions that address the world’s most pressing environmental challenges. As organizations worldwide commit to sustainability goals, professionals who can harness AI for climate action, resource optimization, and green innovation are becoming essential across every sector.
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中级
Environmental professionals, data scientists, sustainability managers, and learners aiming to apply AI to green and climate-focused initiatives.
推荐体验
推荐体验
中级
Environmental professionals, data scientists, sustainability managers, and learners aiming to apply AI to green and climate-focused initiatives.
您将学到什么
AI for Sustainability: Use AI to address environmental challenges like resource depletion, waste management, and biodiversity protection.
Data-Driven Environmental Solutions: Analyze environmental data to build predictive models that optimize energy use and support sustainability.
AI in Technologies & Energy Systems: Learn how AI improves renewable energy, smart grids, sustainable innovations in agriculture and manufacturing.
Sustainability Strategy & Responsible AI: Build AI-driven sustainability frameworks aligned and global goals while ensuring ethical AI use.
要了解的详细信息

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April 2026
9 项作业
了解顶级公司的员工如何掌握热门技能

该课程共有10个模块
This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.
涵盖的内容
9个视频1篇阅读材料1个作业2个插件
9个视频•总计75分钟
- Audiobook: Module 1: Course Introduction•6分钟
- Module 1: Course Introduction•7分钟
- Audiobook: Module 1: Introduction to AI and Sustainability•28分钟
- Podcast: Module 1: Introduction to AI and Sustainability•13分钟
- 1.1 Overview of Artificial Intelligence•4分钟
- 1.2 Introduction to Sustainability•3分钟
- 1.3 Sustainability Challenges•6分钟
- 1.4 Introduction to Multi-Agent Systems•4分钟
- 1.5 Case Study: AI Models for Climate Change Prediction•4分钟
1篇阅读材料•总计10分钟
- Hands On•10分钟
1个作业•总计30分钟
- Quiz 1•30分钟
2个插件•总计30分钟
- Ebook: Module 1: Introduction to AI and Sustainability•15分钟
- ACTIVITY: Multiple Choice•15分钟
涵盖的内容
11个视频2篇阅读材料1个作业2个插件
11个视频•总计89分钟
- Audiobook: Module 2: AI Techniques for Sustainability Solutions•27分钟
- Podcast: Module 2: AI Techniques for Sustainability Solutions•17分钟
- 2.1 Understanding Sustainability Challenges and Global Responses•5分钟
- 2.2 Applying Supervised Learning for Environmental Forecasting and Classification•5分钟
- 2.3 Case Study: Predicting Air Quality in Beijing: A Machine Learning Approach •4分钟
- 2.4 Unsupervised Learning for Environmental Insights and Resource Optimization•3分钟
- 2.5 Dimensionality Reduction in Sustainability: Case Study on Precision Agriculture Using Unsupervised Learning•5分钟
- 2.6 Basics of Reinforcement Learning•5分钟
- 2.7 Applications of Reinforcement Learning in Resource Management and Case Study: Smart Water Grid Optimization in Barcelona•6分钟
- 2.8 The Environmental Impact of AI Systems•4分钟
- 2.9 Designing Energy-Efficient AI Models for Sustainability•6分钟
2篇阅读材料•总计20分钟
- Hands On 1•10分钟
- Hands On 2•10分钟
1个作业•总计30分钟
- Quiz 2•30分钟
2个插件•总计30分钟
- Ebook: Module 2: AI Techniques for Sustainability Solutions•15分钟
- ACTIVITY: Tab•15分钟
涵盖的内容
9个视频2篇阅读材料1个作业2个插件
9个视频•总计79分钟
- Audiobook: Module 3: AI for Climate Change Mitigation•28分钟
- Podcast: Module 3: AI for Climate Change Mitigation•13分钟
- 3.1 Predictive Models for Weather and Climate Pattern •8分钟
- 3.2 Machine Learning for Climate Change Forecasting•4分钟
- 3.3 AI-Based Risk Assessment and Mitigation •5分钟
- 3.4 Grid Optimization and Energy Storage with AI•7分钟
- 3.5 Demand Forecasting for Energy Consumption•4分钟
- 3.6 AI Tools for Calculating and Reducing Carbon Footprints +•5分钟
- 3.7 AI-Powered Emission Monitoring Systems•6分钟
2篇阅读材料•总计20分钟
- Hands On 1•10分钟
- Hands On 2•10分钟
1个作业•总计30分钟
- Quiz 3•30分钟
2个插件•总计30分钟
- Ebook: Module 3: AI for Climate Change Mitigation•15分钟
- ACTIVITY: Case Study•15分钟
涵盖的内容
9个视频2篇阅读材料1个作业2个插件
9个视频•总计92分钟
- Audiobook: Module 4: AI in Sustainable Energy Systems•29分钟
- Podcast: Module 4: AI in Sustainable Energy Systems•16分钟
- 4.1 Predictive Maintenance in Energy Systems•7分钟
- 4.2 AI for Smart Grids and Dynamic Energy Distribution +•6分钟
- 4.3 AI Applications for Wind and Solar Power Management•8分钟
- 4.4 Real-Time Monitoring of Renewable Energy Sources + Optimizing Energy Production with AI•7分钟
- 4.5 Energy Storage Management Using AI•5分钟
- 4.6 Load Balancing for Energy Grids•7分钟
- 4.7 AI for Optimizing Battery Performance and Storage Solutions•7分钟
2篇阅读材料•总计20分钟
- Hands On 1•10分钟
- Hands On 2•10分钟
1个作业•总计30分钟
- Quiz 4•30分钟
2个插件•总计30分钟
- Ebook: Module 4: AI in Sustainable Energy Systems•15分钟
- ACTIVITY: Hotspot•15分钟
涵盖的内容
10个视频2篇阅读材料1个作业2个插件
10个视频•总计82分钟
- Audiobook: Module 5: AI for Sustainable Agriculture•22分钟
- Podcast: Module 5: AI for Sustainable Agriculture•15分钟
- 5.1 AI for Efficient Water Use and Irrigation•5分钟
- 5.2 Soil Health Monitoring and Management with AI•6分钟
- 5.3 Crop Yield Prediction Using Machine Learning•7分钟
- 5.4 Machine Learning Models for Crop Disease Identification•5分钟
- 5.5 AI-Powered Drones and AI Applications for Sustainable Crop Health and Pesticide Management •6分钟
- 5.6 AI-Driven Decision-Making for Farm Management•5分钟
- 5.7 Automation in Farming, Resource Usage Reduction, and AI-Powered Market Forecasting in Agriculture•6分钟
- 5.8 Case Study – AI in Precision Agriculture•5分钟
2篇阅读材料•总计20分钟
- Hands On 1•10分钟
- Hands On 2•10分钟
1个作业•总计30分钟
- Quiz 5•30分钟
2个插件•总计30分钟
- Ebook: Module 5: AI for Sustainable Agriculture•15分钟
- ACTIVITY: Tab•15分钟
涵盖的内容
11个视频1篇阅读材料1个作业2个插件
11个视频•总计69分钟
- Audiobook: Module 6: AI in Waste Management and Circular Economy •20分钟
- Podcast: Module 6: AI in Waste Management and Circular Economy •16分钟
- 6.1 Machine Learning in Waste Classification•6分钟
- 6.2 Smart Recycling Systems Powered by AI•4分钟
- 6.3 AI Applications in Waste-to-Energy Conversion•3分钟
- 6.4 Predicting Energy Production from Waste•3分钟
- 6.5 Optimizing Waste Processing Plants with AI•4分钟
- 6.6 AI in Material Recovery and Reprocessing•4分钟
- 6.7 Minimizing Waste through AI-Driven Design•4分钟
- 6.8 AI Models for the Circular Economy in Industries•3分钟
- 6.9 Case Study: AI for Waste Sorting and Recycling•3分钟
1篇阅读材料•总计10分钟
- Hands On•10分钟
1个作业•总计30分钟
- Quiz 6•30分钟
2个插件•总计30分钟
- Ebook: Module 6: AI in Waste Management and Circular Economy •15分钟
- ACTIVITY: Problem Statement•15分钟
涵盖的内容
12个视频2篇阅读材料1个作业2个插件
12个视频•总计80分钟
- Audiobook: Module 7: AI for Biodiversity Conservation and Environmental Monitoringdule•20分钟
- Podcast: Module 7: AI for Biodiversity Conservation and Environmental Monitoringdule•17分钟
- 7.1 Satellite Imagery Analysis with AI•5分钟
- 7.2 AI for Deforestation and Land Use Change Detection•5分钟
- 7.3 Monitoring Water Bodies and Forests with Remote Sensing•5分钟
- 7.4 AI-powered Solutions for Species Tracking•4分钟
- 7.5 Machine Learning for Identifying and Protecting Endangered Species•4分钟
- 7.6 AI for Monitoring Poaching and Illegal Activities•4分钟
- 7.7 Ecosystem Modeling and Restoration using AI•4分钟
- 7.8 Monitoring Biodiversity with Machine Learning•4分钟
- 7.9 Predicting the Impact of Human Activities on Ecosystems•4分钟
- 7.10 Case Study: AI for Deforestation Monitoring•4分钟
2篇阅读材料•总计20分钟
- Hands On 1•10分钟
- Hands On 2•10分钟
1个作业•总计30分钟
- Quiz 7•30分钟
2个插件•总计30分钟
- Ebook: Module 7: AI for Biodiversity Conservation and Environmental Monitoringdule•15分钟
- ACTIVITY: True or False•15分钟
涵盖的内容
12个视频1篇阅读材料1个作业2个插件
12个视频•总计79分钟
- Audiobook: Module 8: AI for Water Resource Management•21分钟
- Podcast: Module 8: AI for Water Resource Management•14分钟
- 8.1 Predictive Modeling for Water Demand Forecasting•5分钟
- 8.2 AI Applications for Drought Prediction•4分钟
- 8.3 Optimizing Water Use with AI in Agriculture and Urban Settings•5分钟
- 8.4 AI-powered Irrigation Optimization•5分钟
- 8.5 IoT and Machine Learning for Water Management•5分钟
- 8.6 Precision Irrigation Systems and Their Environmental Benefits•4分钟
- 8.7 AI for Water Contamination Detection•6分钟
- 8.8 Real-time Monitoring of Water Bodies Using AI•4分钟
- 8.9 Machine Learning Models for Water Purification•4分钟
- 8.10 Case Study: AI for Smart Irrigation Systems•3分钟
1篇阅读材料•总计10分钟
- Hands On•10分钟
1个作业•总计30分钟
- Quiz 8•30分钟
2个插件•总计30分钟
- Ebook: Module 8: AI for Water Resource Management•15分钟
- ACTIVITY: Accordion•15分钟
涵盖的内容
12个视频2篇阅读材料1个作业2个插件
12个视频•总计93分钟
- Audiobook: Module 9: AI for Sustainable Cities and Smart Urban Development•29分钟
- Podcast: Module 9: AI for Sustainable Cities and Smart Urban Development•14分钟
- 9.1 AI For Energy-Efficient Buildings and Urban Planning•5分钟
- 9.2 Smart Grids, Transportation, and Waste Management Systems•6分钟
- 9.3 AI-Driven Solutions For Urban Air Quality Monitoring•5分钟
- 9.4 AI in Autonomous Vehicles and Electric Transportation•5分钟
- 9.5 Smart Traffic Management with AI•5分钟
- 9.6 AI-Powered Solutions For Sustainable Public Transport•5分钟
- 9.7 Optimizing Resource Consumption in Cities Using AI•6分钟
- 9.8 AI For Waste Reduction and Management in Urban Settings•6分钟
- 9.9 Real-Time Urban Monitoring and Data Analysis•7分钟
- 9.10 Case Study: AI for Urban Air Quality Monitoring•3分钟
2篇阅读材料•总计20分钟
- Hands On 1•10分钟
- Hands On 2•10分钟
1个作业•总计30分钟
- Quiz 9•30分钟
2个插件•总计30分钟
- Ebook: Module 9: AI for Sustainable Cities and Smart Urban Development•15分钟
- ACTIVITY: Scenario Activity•15分钟
涵盖的内容
6个视频1个插件
6个视频•总计62分钟
- Audiobook: Module 10: Capstone Project: Designing an AI Solution for a Sustainability Challenge•29分钟
- Podcast: Module 10: Capstone Project: Designing an AI Solution for a Sustainability Challenge•14分钟
- 10.1 Problem Identification and Data Collection•7分钟
- 10.2 Building and Implementing AI Models•4分钟
- 10.3 Evaluation and Impact Assessment•2分钟
- Module 10: Course Summary •7分钟
1个插件•总计15分钟
- Ebook: Module 10: Capstone Project: Designing an AI Solution for a Sustainability Challenge•15分钟
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人们为什么选择 Coursera 来帮助自己实现职业发展

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常见问题
No. The course begins with foundational AI and sustainability concepts and progressively builds into applying machine learning and data tools to real-world environmental challenges.
Yes. You’ll gain hands-on experience with tools such as TensorFlow, PyTorch, Python, and specialized platforms for energy management, environmental visualization, and waste reduction.
Basic familiarity with Python is helpful. The course introduces all tools and frameworks progressively, making it accessible to learners with a foundational understanding of data and AI concepts.
You’ll explore TensorFlow, PyTorch, Python, climate prediction platforms, AI-driven energy management systems, smart grid optimization software, sustainability analytics frameworks, and more.
You’ll work on projects such as CO₂ emissions trend analysis, smart grid load balancing, crop yield prediction, waste sorting classifiers, deforestation detection, and AI-optimized irrigation systems.
AI enables real-time environmental monitoring, predictive modeling, and automated resource optimization at a scale and accuracy that traditional tools and methods cannot match.
Yes. The course is built for practical application, equipping you with tools and strategies you can deploy immediately within sustainability, environmental, or green technology roles.
Absolutely. The course is designed to bridge AI and sustainability, making it valuable for environmental managers, policy professionals, and sustainability strategists alongside technical learners.
Yes. You’ll explore AI applications in climate modeling, renewable energy integration, carbon footprint reduction, and predictive tools that support evidence-based climate action strategies.
Yes. You’ll examine the ethical dimensions of deploying AI in environmental contexts, including bias in predictive models, data governance, and the responsible use of AI for sustainability outcomes.
You’ll develop in-demand skills across AI, data science, and sustainability, preparing you for roles such as sustainability data scientist, AI environmental engineer, or climate innovation officer.
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.
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