AI Agents: From Concept to Code with LangGraph

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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

About the speaker
Sibin Bhaskaran is a Solution Consultant and technology lover at Sahaj AI Software. With over a decade of practical knowledge, he strives to gain a comprehensive understanding of the entire business lifecycle, putting into perspective the pivotal role that technology plays in its overall success. He has extensive knowledge across diverse domains of technology, spanning backend development, mobility solutions, robotic process automation, and machine learning.