Library / Artificial Intelligence

LangChain for Developers: From Zero to Hero

On Udemy

About this course

Master LangChain, AI Agents, RAG & Production-Ready LLM Applications

Generative AI is transforming software development. But building real-world AI systems requires more than just calling the OpenAI API. In this comprehensive LangChain course, you will learn how to design, build, and deploy production-ready AI applications using LangChain, Large Language Models (LLMs), AI Agents, RAG pipelines, MCP, and FastAPI.This course is built specifically for developers who want to master LLM application development and move beyond simple chatbot demos.

What You’ll Learn,By the end of this course, you will be able to:

  • Build AI Agents using LangChain
  • Implement Retrieval-Augmented Generation (RAG) systems
  • Work with OpenAI and other LLM providers
  • Design Agentic AI architectures
  • Implement Model Context Protocol (MCP)Build Multi-Agent systems

Add Memory and Context Management

Use Structured Outputs and Streaming Responses

Implement Guardrails and Human-in-the-Loop (HITL)Add Observability and Tracing with Langfuse

Build and deploy AI APIs using FastAPICore Topics CoveredLangChain FundamentalsAI Agents & Tool CallingPrompt Engineering

Agentic Design PatternsRAG Architecture

Model Context Protocol (MCP)Multi-Agent Communication

Observability & Evaluation

Production API DevelopmentFastAPI Integration

If you want to become a Generative AI Developer and build real-world LLM applications using LangChain, this course will take you from beginner to advanced, step by step.

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