This course provides a comprehensive introduction to Artificial Intelligence (AI), a transformative force shaping industries and societies worldwide. AI now plays a critical role in diverse domains鈥攆rom predicting consumer behavior to enabling intelligent automation. The course offers a broad understanding of core AI concepts, emphasizing the strategic overview of its applications rather than deep technical implementation. Learners will explore intelligent agents, uninformed and informed search strategies, logic-based reasoning, game-playing techniques, and knowledge representation. The curriculum also includes natural language processing, machine learning classification, planning algorithms, and expert systems. These topics are presented with real-world context to help students grasp how AI systems make decisions, solve problems, and adapt to complex environments. Designed for learners from business and interdisciplinary backgrounds, the course highlights the practical implications of AI in research and industry. Through case-based learning and conceptual exercises, students will develop the ability to evaluate AI-driven solutions and understand the ethical considerations surrounding their use. By the end of the course, participants will be equipped with the knowledge to critically engage with AI tools and trends, enabling them to contribute meaningfully to innovation and decision-making in a data-driven world.
Introduction and Types of Learning
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Skills You'll Learn
Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Natural Language Processing, Computational Logic, Supervised Learning, Business Strategy, Probability & Statistics, Taxonomy, Machine Learning, Decision Support Systems, Game Design, Artificial Intelligence, Decision Tree Learning, Strategic Thinking, Strategic Decision-Making, Bayesian Statistics, Text Mining, Information Architecture, Machine Learning Algorithms, Complex Problem Solving
Taught By
Dr. Arpit Singh
Assistant Professor