23BAT615 & Artificial Intelligence for Managers

About Course

Artificial Intelligence for Managers is a contemporary subject designed to equip management students with a strong understanding of how AI can be effectively applied in business environments. The course focuses on bridging the gap between technical AI concepts and managerial decision-making, enabling future leaders to leverage intelligent technologies for strategic advantage.

Course Content

Syllabus
Course Objective: 1. Equip students with foundational knowledge in AI & ML, including understanding technology landscape, tools/platforms for deployment, data importance, statistical foundations, and data visualization for effective decision-making. 2. Essential concepts in machine learning, including supervised and unsupervised learning, ensemble techniques, recommendation systems, reinforcement learning, and their applications. 3. Equip students with a comprehensive understanding of key machine learning algorithms and techniques, including linear regression, logistic regression, decision trees, random forests, KNN, neural networks, deep learning, visualization, NLP, and text analytics. 4. Prepare students to lead digital transformation initiatives by developing AI & ML strategies aligned with organizational goals, ensuring business model fit, ROI, success measures, and addressing data requirements. 5. Equip management students with essential visualization techniques, emphasizing context, storytelling, and utilizing data to influence decision-making effectively.

LECTURE NOTES

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