LangChain Certification
A complete exam prep course for the LangChain Certification (LangSmith Certification). This certification validates your ability to build production LLM applications using the LangChain ecosystem — including chains, prompts, LCEL, RAG pipelines, agents with LangGraph, and observability with LangSmith. Each lesson includes practice questions to prepare you for the exam.
Your Learning Path
Follow these lessons in order for complete LangChain Certification preparation, or jump to any topic.
1. Certification Overview
LangSmith certification program, exam format, topics tested, registration process, and recommended study plan.
2. Core Concepts
Chains, prompt templates, output parsers, memory, LCEL (LangChain Expression Language), and practice questions.
3. RAG & Retrieval
Document loaders, text splitters, vector stores, retrievers, RAG chains, and practice questions.
4. Agents & Tools
Agent types, tool calling, custom tools, LangGraph for stateful agents, and practice questions.
5. LangSmith
Tracing, evaluation, datasets, annotation queues, monitoring, and practice questions.
6. Tips & FAQ
Practice questions, exam tips, common mistakes, quick reference, and FAQ accordion.
What You'll Learn
By the end of this course, you will be able to:
Build LLM Chains
Create composable chains with LCEL, prompt templates, output parsers, and memory for conversational applications.
Implement RAG
Build retrieval-augmented generation pipelines with document loaders, vector stores, and retrieval chains.
Create Agents
Build autonomous agents with tool calling, custom tools, and stateful workflows using LangGraph.
Monitor with LangSmith
Trace, evaluate, and monitor LLM applications in production using LangSmith's observability platform.
Lilly Tech Systems