Day 2: Introduction to Agent ToolCalling

In this session, we focused on Agent Tool Calling, empowering AI agents to take action and make decisions dynamically using tools and web integration. This is a crucial step in building intelligent, functional AI agents capable of reasoning and acting autonomously. What You’ll Learn in This Video: ✅ How to add tool nodes and conditional edges in LangGraph ✅ Integrating web-search as a tool within LLM conversations ✅ Understanding how AI agents can dynamically decide which tools to use ✅ Practical examples of building multi-tool, intelligent AI agents 💡 This session is perfect for AI developers, machine learning enthusiasts, and anyone interested in LangGraph, LLMs, and AI agent development. By the end, you’ll know how to extend your AI agent’s capabilities to interact with multiple tools in real-world scenarios. GitHub:https://github.com/CodeByFelix/Deep-Dive-into-AI-Agent-with-LangGraph-Training