AI Agents in Action: From Generative Models to Autonomous, Decision-Making Systems

The rise of AI large models is propelling AI agents far beyond simple content generation into the realm of autonomous decision-making. From self-driving vehicles and algorithmic trading to intelligent customer service and robotic automation, AI agents are now executing increasingly complex tasks across every industry, becoming a defining lever of enterprise intelligent transformation. Yet building agents that work reliably in the real world remains hard: today’s systems still struggle with reasoning depth, real-time environmental perception, multi-agent coordination, and security. For technical professionals and industry practitioners, mastering the theoretical foundations, key technologies, and practical applications of AI agents has become urgent and decisive.

This expert-led training delivers a structured deep-dive into AI agents driven by large models covering their core concepts, technical architecture, and high-impact application scenarios. It walks through how agents achieve autonomous decision-making through perception, memory, reasoning, and execution, and unpacks the key technologies that make them work in production: multi-agent collaboration, real-time state tracking, and tool integration. Through concrete case studies in autonomous driving, financial trading, intelligent customer service, and robotics, the course illustrates real design patterns and operational outcomes  equipping participants to design, build, and deploy efficient, reliable AI agents that deliver measurable business value.