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Generative AI and ESG · LearnSpace
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Generative AI and ESG

Курс от Rutgers the State University of New Jersey
Средний≈ 9.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This intermediate-level course equips learners with a comprehensive understanding of environmental, social, and governance (ESG) principles and practical mastery of applying generative AI (GenAI) technologies to enhance ESG practices. By bridging the gap between sustainability and cutting-edge AI, you'll gain the skills to drive meaningful impact in your organization and broader society. You'll start by mastering ESG and GenAI fundamentals, then explore their powerful intersection. You'll then learn to implement AI for ESG data analysis, risk assessment, and ESG reporting. Advanced topics include Retrieval Augmented Generation and fine-tuning AI models for ESG tasks. You'll tackle case studies, explore emerging trends, and discuss the implications of AI in ESG. To be successful in this course, you should have a foundational understanding of business concepts and a genuine interest in sustainability and emerging technologies. No prior technical expertise is required - we've designed the course to guide you step by step through both ESG and AI concepts. Whether you're a sustainability professional seeking to leverage AI, a data scientist moving into ESG, or a business leader driving digital transformation in sustainability, you'll be equipped to lead AI-driven sustainability initiatives and bridge the technical and strategic aspects of ESG implementation.

Навыки, которые вы освоите

Environmental Social And Corporate Governance (ESG)Generative AIResponsible AIFine-tuningRetrieval-Augmented GenerationLLM ApplicationData EthicsRegulatory ComplianceSustainable BusinessRiskingSustainability StandardsSustainability ReportingArtificial IntelligenceCorporate Sustainability

Программа курса

6 модулей · 44 учебных материалов

01Foundations of ESG9 материалов
Course Overview and WelcomeВидеоCourse SyllabusЧтениеIntroduction to ESG: Principles and ImportanceВидеоESG Standards, Frameworks, and PracticesВидео

Учитесь у экспертов

Irina Jie Bao

Преподаватель курса

Generative AI and ESG
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Обучение на Coursera

≈ 9.3 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Венгерский

Часть программы вашего университета
ESG Challenges: Greenwashing and Regulatory LandscapeВидео
ESG Reporting and AssuranceВидео
Exploring the Intersection of ESG, Corporate Performance, and Sustainability: Key Insights Чтение
Understanding ESG: Principles and PracticesЗадание
ESG Reporting and Regulation: Key Concepts and StandardsЗадание
02Foundations of GenAI8 материалов
Introduction to Generative AI and Large Language Models (LLM)ВидеоThe Architecture and Training of LLMsВидеоApplications and Key Players in GenAIВидеоChallenges, Limitations, and Future of GenAIВидеоUnderstanding Self-Attention and the GenAI Gold Rush: Technical and Market InsightsЧтениеThe Future of GenAI PromptОбсуждениеExploring Generative AI: Fundamentals and Key TechnologiesЗаданиеTraining, Applications, and Ethical ConsiderationsЗадание
03Using GenAI in ESG8 материалов
Implementing AI in ESG: Needs and AdvantagesВидеоExtracting and Analyzing Data from ESG ReportsВидеоEnhancing ESG Risk Assessment and Management ВидеоImproving Stakeholder Engagement and Reporting with GenAIВидеоAI-Driven Innovation in Sustainable Products and ServicesВидеоNavigating ESG Data: Evolution, Governance, and Best PracticesЧтениеIntegrating GenAI in ESG Practices: Benefits and Data ManagementЗаданиеESG Strategies with GenAIЗадание
04Advanced Implementation Techniques in ESG7 материалов
Prompt Engineering for ESG ApplicationsВидеоRAG and Fine-tuning AI Models for ESG TasksВидеоComparing GenAI Implementation Approaches in ESGВидеоExploring Prompt Engineering: Techniques, Applications, and Choices in AIЧтениеMastering AI Model Fine-Tuning and ESG-BERT for ESG ApplicationsЧтениеExploring RAG and Fine-TuningЗаданиеComparing AI Techniques: RAG vs. Fine-Tuning in ESG ApplicationsЗадание
05Case Exercises - Extracting Data from ESG Reports6 материалов
Case Exercise 1 - Extracting Environmental Data from ESG ReportsВидеоCase Exercise 2 - Extracting Diversity Data from ESG ReportsВидеоGRI Standards Overview: Emissions and Diversity ReportingЧтениеAI-Assisted ESG Data Extraction and VerificationЧтениеUnderstanding ESG ReportingЗаданиеE&S Considerations in ESG ReportingЗадание
06Future Trends and Ethical Concerns in AI for ESG6 материалов
Ethical Considerations, Bias, Data Privacy and Explainable AIВидеоRegulatory Landscape, Global Collaboration and Customized AI ModelsВидеоResponsible AI and ESG Risks: Ethical Considerations for Sustainable AI AdoptionЧтениеExplainable AI and Bias MitigationЗаданиеGlobal Standards and Ethical ConsiderationsЗаданиеFinal ExamЗадание