The future of enterprise learning isn't about choosing between AI and immersive learning—it's about integrating them to deliver personalized, accessible training at scale. The challenge? Architecting systems where large language models (LLMs), immersive environments, and agentic AI work together seamlessly while maintaining explainability, accessibility, and operational reliability.

This session reveals how Amazon Logistics integrated multiple technologies to create comprehensive learning platforms serving 350,000+ delivery associates annually. We will explore the architecture, integration strategies, and lessons learned from deploying interactive learning experiences led by agentic AI, AI companions for personalized learning journeys, and VR simulations that work together to reduce onboarding time and improve competency scores. We'll share design principles for AI systems that work in real-world conditions, simple interfaces for routine use with deeper AI capabilities for advanced learners, and how we measure effectiveness across the ecosystem—connecting AI interactions, VR practice, and on-the-job performance.

In this session, you will learn:

• How we integrated LLMs, VR, and agentic AI into cohesive learning ecosystems
• Design principles for AI-powered learning that maintains explainability, accessibility, and works across diverse operating conditions
• How we navigated technical challenges including latency, offline functionality, multilingual support, and accessibility requirements at scale
• Strategies for balancing innovation with operational discipline through risk assessment, compliance monitoring, and ethical AI deployment practices
• How we measure integrated system effectiveness using business outcomes including safety, performance, retention, and learner satisfaction

Attendees should have working knowledge of LLMs and conversational AI and familiarity with VR/AR training applications. We'll cover technical integration patterns, API design, data flow architectures, and ethical considerations that require intermediate understanding of both AI and immersive learning technologies to fully appreciate and apply.