Build AI Agents from Scratch with LangChain: A Hands-on Introduction

**Unleash the power of AI agents using LangChain!** Join us for a **beginner-friendly, hands-on workshop** where we’ll demystify LangChain agents and help you build your first smart LLM-powered assistant. Whether you're a developer, data enthusiast, or simply curious about AI, this workshop will guide you through the fundamentals of agent-based systems — and show you how to put them into practice. **What you will learn:** * What agents are, and how they differ from chains * How to use LangChain to give your LLM tools (like search or calculators) * How to design prompts for agent reasoning * How to build and run your own agent from scratch * How to debug and optimize agent workflows **Hands-On Project:** You’ll create your own AI agent that can plan trips, answer queries using tools, and reason through tasks step-by-step. **Tech Stack:** * Python * LangChain * OpenAI (or any preferred LLM) * Optional tools like Python REPL, etc. **Workshop Details:** * **Date:** September 6, 2025 * **Duration:** \~2 hours * **Location:** Online link will be sent after registration confirmation * **Level:** Beginner to Intermediate * **Requirements:** Python knowledge, laptop with internet **What You’ll Get:** * Sample code and templates to reuse * Real-world use case demo * Access to workshop slides and GitHub repo * Confidence to explore more advanced LLM agent use cases **About the Host** Gokul is a CTO and AI enthusiast based in Singapore with a passion for building practical, real-world applications using cutting-edge technology. He has led engineering efforts in startups and AI-driven projects, and is now exploring how tools like LangChain and large language models (LLMs) can unlock smarter, more autonomous software. Gokula enjoys simplifying complex topics and helping others get hands-on with new tech. This workshop is part of his effort to share what he's learning and build a local community around applied AI.