Join us for an immersive session on the LangChain Ecosystem & AI Agents, where you’ll explore how to leverage LangChain’s powerful abstractions—LLM wrappers, prompt templates, chains, callbacks, and custom tools—to build truly autonomous AI agents. You’ll learn: How to standardize interactions with multiple large language models (OpenAI, Hugging Face, etc.) The difference between linear chains and agent-driven workflows, with real-world use cases Step-by-step demonstration of defining custom tools (e.g., calculators, web search) and wiring them into a LangChain agent Best practices for planning, execution, and error handling in multi-tool AI pipelines By the end of this session, you will have a working Python example of a LangChain agent that can interpret user queries, decide which tool(s) to invoke, and deliver accurate, automated responses. Whether you’re building chatbots, data-driven assistants, or complex AI systems, this module will empower you to design more intelligent, reliable applications. Reserve your spot now and take a critical step toward mastering agentic AI architectures!