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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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UNIT-I TECHNOLOGY OVERVIEW AND FUNDAMENTALS
UNIT-II UNBOXING ML AND ITS APPLICATIONS
UNIT-III UNBOXING AI AND ITS APPLICATIONS
UNIT-IV AI & ML FOR BUSINESS EXCELLENCE
UNIT-V FRAMEWORKS FOR DELIVERING AI SOLUTIONS
TEXT BOOKS & REFERENCES
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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Unit 1 -T3
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Unit 1- T5
Unit 1-T6
Unit 1-T7
Unit 1-T8
Unit 1-T9
Unit 2-T1
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Unit 2-T3
23BAT615-ARTIFICIAL INTELLIGENCE FOR MANAGERS

Digital Transformation with AI & ML – Creating an AI & ML Strategy for your organisation (Link to strategic goals, business model fit, ROI, success measure, data requirements) – Implementation and Change Management Considerations – Applications of AI & ML in (Marketing, Sales, Finance, Operations, Supply Chain & Human Resources) – Data Governance, Legal and Ethical Issues Future of AI & ML in business

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