LangChain - Develop Controlled AI Agent with LangChain & RAG

In this course, I guide you step by step through building real-world AI Agents using LangChain, OpenAI, and RAG. Based on my experience helping developers move from basic LLM usage to structured, controllable, and production-ready AI systems, this course focuses on solving common problems such as unreliable AI responses, lack of control, poor context handling, and memory issues. Instead of theory alone, you will follow a hands-on project where we design business, planner, marketing, and email agents, validate AI outputs, manage logs, and integrate Retrieval-Augmented Generation (RAG) with vector databases. Each concept is explained clearly, implemented practically, and connected to real use cases so you can confidently apply what you learn in your own projects.