AI Agents in Future Mobility Operations
Agentic AI for fleet dispatch, route optimization, EV services, and autonomous handoffs.
This course will equip learners with a robust understanding of AI agents' role in future mobility operations. Participants will explore fleet dispatch coordination, route optimization, and the intricacies of EV charging logistics. By examining platform interoperability and multi-agent coordination patterns, learners will see how LLM-driven agents like the iAAM.one PUNCH can transform operational efficiencies and enhance mobility ecosystems.
Curriculum
Module 1: Introduction to AI Agents in Mobility
Understand the foundational concepts of AI agents and their application in mobility operations.
Module 2: Route Optimization Techniques
Explore route optimization algorithms and methodologies utilized by AI agents in mobility.
Module 3: EV Charging Logistics
Learn effective strategies for managing EV charging logistics using AI-driven agents.
Module 4: Autonomous Handoff Strategies
Dive into the coordination of handoffs in autonomous vehicle systems using AI agents.
Module 5: Case Study on iAAM.one PUNCH AI Agent
A detailed exploration of the iAAM.one PUNCH AI agent as a real-world application of AI in mobility.