AI Fundamentals – Unit II: Applications of Artificial Intelligence
Abstract
Unit II – Applications of Artificial Intelligence is an Open Educational Resource (OER) presentation developed for the undergraduate AI Fundamentals course. This presentation introduces the applications of Artificial Intelligence across six important domains: Healthcare, Finance, Retail, Agriculture, Education, and Transportation. It explains how AI technologies are used in these sectors for prediction, automation, decision support, personalization, optimization, and improving efficiency. The PPT presents concepts using simple explanations, real-world examples, diagrams, flowcharts, application workflows, comparison tables, benefits, challenges, and visual learning approaches. It is designed to support classroom teaching, student learning, revision, and examination preparation. Topics Covered AI in Healthcare AI in Finance AI in Retail AI in Agriculture AI in Education AI in Transportation AI technologies used across different application domains Benefits and challenges of AI applications AI-based prediction and decision support Real-world examples and integrated applications Learning Outcomes After studying this unit, learners will be able to: Explain major applications of AI in different domains. Identify how AI supports decision-making and automation. Describe the benefits and limitations of AI applications. Compare AI applications across different industries. Understand the role of AI in healthcare, finance, retail, agriculture, education, and transportation. Target Audience: Undergraduate students, particularly students studying Computer Science and related disciplines. Educational Use: This resource is intended for teaching, learning, classroom presentation, revision, and educational adaptation in accordance with the OER license specified for the resource. Author:Dr C V KrishnaveniLecturer in Computer ScienceSKR & SKR Government College for Women (Autonomous)Kadapa, Andhra Pradesh, India
