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.

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.