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What if students could move beyond simply using AI tools to actually understanding, developing, and deploying them responsibly? "Artificial Intelligence and Machine Learning" by Riggins and Osei is a complete instructional resource that guides learners from core concepts to the ethical design, development, and deployment of real AI systems. Designed to help students overcome common classroom challenges, including black-box thinking, ethical blind spots, technical barriers, and the gap between theory and practice, it emphasizes Explainable AI, embedded ethics, concept-first mathematics, and flexible pathways from no-code tools to Python. With a project-build approach, its content engages students in creating a meaningful AI solution across the full development lifecycle. Supported by rich instructor resources, assessments, and case studies, this resource makes AI education accessible, rigorous, and relevant across disciplines.
