Details
Artificial Intelligence is rapidly evolving beyond static models into intelligent, autonomous agents capable of reasoning, planning, and executing complex tasks. This session explores the transformative potential of AI agents—dynamic, LLM-powered workflows that adapt in real time, overcoming the rigid constraints of traditional control logic. Learn how these agents can efficiently handle intricate queries, coordinate multi-step processes, and make informed decisions with minimal human intervention. Using frameworks like LangGraph, we’ll delve into constructing multi-agent systems that communicate, collaborate, and self-correct to navigate complex scenarios with precision and flexibility. We will also discuss strategies for integrating existing systems into an agentic application, enabling seamless interaction between legacy infrastructure and AI-driven automation.
Takeaways from the talk
What are AI Agents and how can they handle complex problems
Building a multi-agent application with the help of LangGraph
Integrating AI Agents with SQL Database and REST APIs
Prerequisites
Basic Python knowledge