The convergence of artificial intelligence (AI), education, and business presents an opportunity to drive sustainability across industries and societies. As the world faces complex environmental, social, and economic challenges, AI offers innovative solutions to optimize resource usage, streamline business operations, and enhance decision-making processes for sustainable outcomes. In education, AI enables personalized learning experiences, equipping future generations with the knowledge and skills needed to tackle sustainability challenges. Businesses adopt AI to innovate sustainable products and services, reduce carbon footprints, and create a circular economy. This intersection between AI, education, and business reshapes how sustainability is approached while creating a new framework for collaboration, where technology, learning, and commerce work in harmony to build a more sustainable and equitable future. Convergence of AI, Education, and Business for Sustainability explores successful, scalable, and replicable AI applications that contribute to sustainability goals. It bridges the gap between theoretical AI advancements and practical sustainability solutions, encouraging further innovation, investment, and interdisciplinary research in this critical area. This book covers topics such as environmental science, green business, and human resources, and is a useful resource for environmentalists, business owners, educators, academicians, computer engineers, data scientists, and researchers.