Course Overview
AI for Supply Chain Management: Optimizing Logistics with Artificial Intelligence is an 8-week advanced program designed for M.Tech and M.Sc students, as well as professionals in BFSI, IT services, and consulting. This course explores AI applications in areas like forecasting, inventory management, and transportation logistics. Participants will learn to develop and implement AI models to optimize supply chains, enhancing operational efficiency and decision-making.
Course Goals
The primary goal of this course is to equip participants with the skills needed to integrate AI into supply chain management. By enhancing efficiency, reducing costs, and improving decision-making processes across logistics operations, participants will be prepared to drive innovation and transformation within their organizations.
Program Objectives
- Comprehensive AI Application Skills: Learn how to apply AI in various aspects of supply chain management, from demand forecasting to logistics optimization.
- Strategic Implementation Knowledge: Gain the expertise to strategically integrate AI tools and technologies to streamline logistics operations.
- Ethical AI Deployment: Understand the ethical implications of deploying AI in supply chains and how to manage these responsibly.
Program Structure
- Introduction to AI in Supply Chain Management: Explore the basics of supply chain management and AI fundamentals, emphasizing their importance in modern logistics.
- Data Management and AI: Learn techniques for data collection, preparation, and analytics that are crucial for effective AI implementation in supply chains.
- AI Techniques for Supply Chain Optimization: Use machine learning and predictive analytics for demand forecasting, inventory management, and other key logistics functions.
- Real-Time Decision Making: Integrate IoT and AI for dynamic warehousing and transport logistics, enabling real-time decision-making.
- Ethical AI and Future Trends: Discuss ethical considerations in AI applications and prepare for future advancements in AI technologies within supply chains.
Eligibility
- Students: M.Tech and M.Sc students specializing in Computer Science, IT, and related fields.
- Professionals: Individuals working in BFSI, IT services, consulting, and KPO who are interested in applying AI in supply chain management.
Learning Outcomes
- Enhanced Supply Chain Efficiency: Master AI applications that streamline operations, reduce costs, and improve overall efficiency.
- Improved Decision-Making: Develop the ability to leverage AI for better forecasting, inventory management, and logistical planning.
- Innovative Problem Solving: Gain the skills to implement cutting-edge solutions that modernize and transform supply chains.