ExpertEdge provides a complete pathway in data and artificial intelligence, aligning with the teaching needs of computer science and related programmes across US institutions. The collection covers essential areas such as data engineering, statistical methods, and applied machine learning, alongside advanced modules in deep learning, natural language processing, and responsible AI. With resources designed to balance theory and practice, students gain experience in Python, R, and modern machine learning frameworks while working with real datasets and project-based labs. The content supports both undergraduate and graduate programmes, helping institutions prepare students for research, industry certifications, and careers in data-driven fields. By integrating hands-on labs, case studies, and teaching resources, the collection enables faculty to deliver rigorous and engaging courses that match the pace of change in the AI and data landscape.