Learn LangChain: AI & RAG
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Description
Learn LangChain and build modern AI applications with practical, structured lessons.Learn how large language model apps work—from prompt templates and chat models to chains, agents, retrieval-augmented generation, and production deployment.
Whether you are beginning with LangChain or expanding your LLM engineering skills, Learn LangChain helps you study the concepts and patterns used to build real AI products.
WHAT YOU’LL LEARN
LangChain fundamentals and setup
LLMs, chat models, prompts, and structured output
LCEL and composable application chains
Memory, conversation workflows, and state
Document loaders, text splitters, embeddings, and vector stores
Retrieval-augmented generation, or RAG
Advanced RAG patterns, including Graph RAG and Agentic RAG
AI agents, tools, ReAct workflows, and multi-agent systems
LangGraph concepts, nodes, state, and workflows
LangSmith, LangServe, templates, observability, and debugging
Vector databases, semantic search, and retrieval pipelines
AI evaluation, testing, quality measurement, and RAG evaluation
Streaming, caching, error handling, scaling, and production architecture
LoRA and efficient LLM fine-tuning
vLLM, model serving, inference, and deployment concepts
CrewAI and modern multi-agent application patterns
MCP concepts and connected AI workflows
BUILD HANDS-ON PROJECTS
Apply what you learn through practical projects, including:
Q&A bots with RAG
Multi-document research agents
AI customer support systems
Vector search and retrieval pipelines
Tool-using AI agents
Advanced multi-agent systems
Real-time RAG workflows
Production-oriented LLM applications
LEARNING FEATURES
Bite-sized lessons that build from fundamentals to advanced topics
Python examples with JavaScript support
Quizzes, challenges, tips, and good-to-know explanations
Hands-on project-based learning
Progressive learning paths for beginners and experienced developers
Cheat sheets for LangChain fundamentals, RAG, and agents
Progress tracking to help you continue your learning journey
Start your LangChain Journey Today !