AI agent concept using LangChain Tool Calling

AI applications are evolving day by day from simple chatbots to AI agents. Now it can plan, and take actions using tools such as call APIs, databases data, and backend functions etc.... In this talk, I will plan to discuss the core concepts of Agentic AI and explain how to build practical agents using LangChain Tool Calling.

Using this opportunity, i plan to show demo how AI agents use tool calling to make decisions and execute tasks automatically. We will going to explore simple hands on examples such as performing calculations or interacting with backend functions. Here you will learn how agents choose the right tools and complete tasks step by step.

• Understand the difference between Agentic AI and AI agents

• Learn the basics of Agentic AI and tool calling

• How LangChain enables LLMs to call backend functions

• Build simple task based agent with real examples(calculation or sql query generate)