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Course Content
Syllabus
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.
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Lecture Notes
Artificial Intelligence helps organizations automate processes, improve decision-making, and gain insights from data. Managers play a key role in identifying opportunities, implementing AI solutions, and ensuring ethical use of AI technologies.
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23BAT615-ARTIFICIAL INTELLIGENCE FOR MANAGERS

Introduction to AI & ML Technologies/ Applications – Understanding the Technology Landscape – Tools & Platforms for organisations to deploy AI & ML solutions – Importance of Data (where to find it, how to store, manipulate, and attribute it –  Statistical Foundations – Storytelling with Data Visualisation Techniques.

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