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Agentic AI in Logistics

This course will teach you to architect agent-based systems that harness APIs to autonomously manage shipments, predict risks, optimize resources, and create a responsive, future-ready supply chain.

Beginner
25m
(2)

Created by Laurentiu Raducu

Last Updated Jul 15, 2025

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  • Course

Agentic AI in Logistics

This course will teach you to architect agent-based systems that harness APIs to autonomously manage shipments, predict risks, optimize resources, and create a responsive, future-ready supply chain.

Beginner
25m
(2)

Created by Laurentiu Raducu

Last Updated Jul 15, 2025

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What you'll learn

Traditional logistics operations are characterized by fragmented systems, reactive decision-making, and costly manual processes—costing businesses millions in delays, waste, and missed opportunities. In this course, Agentic AI in Logistics, you’ll learn to design and deploy autonomous agent systems that orchestrate your logistics APIs into a self-optimizing, resilient supply chain. First, you’ll explore the strategic architecture of agent-based logistics, understanding how specialized AI agents collaborate through APIs to automate decisions, reduce human intervention, and turn real-time data into proactive actions. Next, you’ll discover tactical optimization frameworks where agents control APIs for dynamic route planning, warehouse robotics coordination, autonomous freight procurement, and predictive disruption management. Finally, you'll learn about additional use cases that can be automated through agents. When you’re finished with this course, you’ll have the skills and knowledge of autonomous logistics orchestration needed to transform supply chains from cost centers into AI-driven competitive advantages, slashing operational expenses and improving customer satisfaction.

Agentic AI in Logistics
Beginner
25m
(2)
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About the author
Laurentiu Raducu - Pluralsight course - Agentic AI in Logistics
Laurentiu Raducu
14 courses 4.1 author rating 102 ratings

Laurentiu is working in fintech as a software developer engineer in test, with a strong emphasis on pentesting.

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