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AI in Supply Chain · LearnSpace
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AI in Supply Chain

Курс от AI CERTs
Средний≈ 7.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Responsible AIInventory and WarehousingDemand PlanningSupply Chain ManagementInventory Control SystemsSupply Chain PlanningSupplier Performance ManagementSupply ChainArtificial IntelligenceOperations ManagementInventory ControlSupply ManagementLLM ApplicationAI EnablementSupplier ManagementArtificial Intelligence and Machine Learning (AI/ML)Inventory Management SystemCustomer Demand PlanningGenerative AI AgentsSupplier Risk Management

Программа курса

8 модулей · 57 учебных материалов

01Module 1: Fundamental Concepts of Supply Chain Management10 материалов
Navigation VideoВидеоCourse IntroductionВидео1.1 SCOR Model and Core ProcessesВидео1.2 SCOR Model: Mapping and Application in Supply ChainsВидео1.3 SCOR Model: Benefits, Challenges, and AI Transformation

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AI CERTs Team

Преподаватель курса

AI in Supply Chain
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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 7.5 ч

8 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Испанский, Японский

Часть программы вашего университета
Видео
1.4 Supply Chain: Key FunctionsВидео
1.5 Global Supply Chain ChallengesВидео
1.6 KPIs and Performance MeasurementВидео
Activity: HotspotPLUGIN
Quiz 1Задание
02Module 2: AI Concepts, Techniques, and Tools for SCM 6 материалов
2.1 AI/ML FundamentalsВидео2.2 AI Techniques in SCMВидео2.3 AI Tools for SCMВидео2.4 AI Data Foundations in SCMВидеоActivity: TabPLUGINQuiz 2Задание
03Module 3: LLM and Generative AI Applications in SCM7 материалов
3.1 LLMs and GenAI Fundamentals in SCMВидео3.2 AI Use Cases in Supply ChainВидео3.3 Chat-Based AI Copilots for Planners and Knowledge ManagementВидео3.4 Limitations and Best Practices for LLM/GenAIВидео3.5 Enterprise AI Tools and FrameworksВидеоActivity: AccordionPLUGINQuiz 3Задание
04Module 4: Ethical Considerations and Responsible AI in SCM 7 материалов
4.1 Bias in Forecasting and Procurement, Transparency, and ExplainabilityВидео4.2 Privacy, Security, and Regulatory ComplianceВидео4.3 Job Displacement, Upskilling, and Human-AI CollaborationВидео4.4 Sustainability, ESG, and AI for Ethical Sourcing and Carbon TrackingВидео4.5 Governance Frameworks and Risk ManagementВидеоActivity: Sequence ArrangementPLUGINQuiz 4Задание
05Module 5: Supply Chain Digitization, Orchestration, and Intelligent Systems6 материалов
5.1 Digitization: ERP, SCM, Cloud, Blockchain, and APIsВидео5.2 Orchestration: Control Towers, Real-Time Visibility, Data Pipelines, and Digital TwinsВидео5.3 Intelligent SCM: Predictive and Prescriptive Analytics, Autonomous Management, Robotics, and Edge AIВидео5.4 Human-AI CollaborationВидеоActivity: Drag and DropPLUGINQuiz 5Задание
06Module 6: Industrial Applications, Case Studies, and Business Value6 материалов
6.1 Applications Across IndustriesВидео6.2 Real-World ROI: Efficiency Gains, Cost Reduction, and Resilience ImprovementsВидео6.3 Implementation Best PracticesВидео6.4 Case Studies from Blue Yonder, Kinaxis, Oracle, and OthersВидеоActivity: Problem StatementPLUGINQuiz 6Задание
07Module 7: Strategic SCM, Logistics Policies, and Sustainability6 материалов
7.1 Trade Policies, Tariffs, and Geopolitical RisksВидео7.2 Strategic Network Design: Optimization, Resilience, Nearshoring, and FriendshoringВидео7.3 Sustainable SCM: Circular Economy, Green Logistics, and AI-Driven ESG ReportingВидео7.4 AI-Enabled Supply Chain Transformation and LeadershipВидеоActivity: TimelinePLUGINQuiz 7Задание
08Module 8: Agentic AI and the Future of Autonomous Supply Chains9 материалов
8.1 Agentic AI Concepts and WorkflowsВидео8.2 Supply Chain ApplicationsВидео8.3 Agentic AI Tools and PlatformsВидео8.4 Architectures, Guardrails, and OversightВидео8.5 Future Outlook: From Copilots to Semi-Autonomous OperationsВидео8.6 Capstone: Multi-Agent Supply Chain WorkflowВидеоActivity: True or FalsePLUGINCourse SummaryВидеоQuiz 8Задание