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Coursera

AI in Supply Chain

via Coursera

Overview

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Learn how to apply AI in supply chain operations to improve forecasting accuracy, reduce delays, and make smarter inventory decisions. For example, AI can predict demand fluctuations and help businesses prevent stockouts or overstocking before disruptions occur. This AI in Supply Chain course explains how artificial intelligence is used across demand forecasting, inventory management, logistics, and supplier coordination. Designed for beginners, it helps you build practical knowledge without requiring prior technical or coding experience. You’ll explore how AI supports supply chain functions such as demand planning, inventory management, logistics tracking, and risk management. The course focuses on real-world applications. It helps you streamline operations, accelerate decision-making, and strengthen overall supply chain performance. Through guided examples, you’ll learn how to identify opportunities for automation and interpret supply chain data using AI-driven insights. Practical scenarios such as demand forecasting, route planning, & supplier analysis make learning easier to apply in real business environments. Whether you are exploring AI in operations management or looking to understand how AI integrates into supply chain processes, this course offers a clear, structured starting point. By the end of the course, you’ll be able to use AI tools to increase forecasting accuracy, manage inventory more effectively, and make smarter supply chain decisions. Enroll in this AI in supply chain course to build practical skills, minimize operational delays, and confidently apply AI in supply chain processes.

Syllabus

  • Module 1: Fundamental Concepts of Supply Chain Management
    • This module introduces the overall certification structure and provides an overview of the learning journey. It explains how the course is organized, outlines the learning objectives, and helps you understand what to expect as you progress through the certification.
  • Module 2: AI Concepts, Techniques, and Tools for SCM
  • Module 3: LLM and Generative AI Applications in SCM
  • Module 4: Ethical Considerations and Responsible AI in SCM
  • Module 5: Supply Chain Digitization, Orchestration, and Intelligent Systems
  • Module 6: Industrial Applications, Case Studies, and Business Value
  • Module 7: Strategic SCM, Logistics Policies, and Sustainability
  • Module 8: Agentic AI and the Future of Autonomous Supply Chains

Taught by

AI CERTs Team

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