About this Course

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.

Created by: Rutgers the State University of New Jersey