Learn LangChain
Build powerful AI applications using LangChain and LangGraph.
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary4 hoursProjects
3Prerequisites
None
About this skill path
Build powerful AI applications using LangChain and LangGraph. By the end of this Skill Path, you will be able to create structured pipelines, develop stateful chatbots, and design agent-driven systems with memory, retrieval, and human-in-the-loop workflows.
In this Skill Path, you will begin with LangChain fundamentals, including models, prompts, and chains, and learn to compose them into pipelines using the LangChain Expression Language (LCEL). You will then explore memory patterns to build multi-turn chatbots, followed by agents, tool use, and retrieval-augmented generation (RAG). Finally, you will use LangGraph to design stateful workflows with conditional routing, iteration, and human oversight.
Skills you'll gain
- Build and configure LangChain applications end-to-end
- Design and implement memory-aware AI workflows
- Develop agent and retrieval systems
- Model complex, stateful workflows with LangGraph
- Integrate advanced control mechanisms to conversational agents
Syllabus
3 units • 4 lessons • 3 projects • 4 quizzes- 1
Learn Fundamentals of LangChain
Learn how to build LangChain applications using core components — LLMs, prompts, and chains — and understand how memory affects model behavior.
- 2
Learn Intermediate LangChain
Learn advanced LangChain concepts, including memory patterns, stateful chatbots, agents, tool use, and retrieval-augmented generation (RAG) pipelines.
- 3
Learn Fundamentals of LangGraph
Learn designing stateful AI workflows using LangGraph, including conditional routing, iterative cycles, human-in-the-loop approvals, and persistent memory.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this skill path
- practice Project
Agents and Retrieval Systems in LangChain Lab
In this project, you will build an intelligent learning assistant using LangChain agents, tools, and a retrieval-augmented generation (RAG) pipeline. - practice Project
Building a Meeting Minutes Bot With Memory
In this project, you will build a Meeting Minutes Bot using LangChain memory to retain conversation context, generate summaries, and extract key decisions and action items from meeting transcripts. - practice Project
Introduction to LangGraph Lab
In this project, you will build a customer support ticket resolution pipeline using LangGraph to classify incoming tickets, route them through conditional logic, and pause for human approval before sending a response.
Earn a certificate of completion
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Related resources
- Article
How to Build Agentic AI with LangChain and LangGraph
Learn to build AI agents with LangChain and LangGraph. Create autonomous workflows using memory, tools, and LLM orchestration. - Article
Building a Language Model Application with LangChain: A Beginners Guide
Learn about Large Language Models (LLMs) and how to build applications powered by Generative AI using LangChain. - Article
Build AI agents with LangChain v1: step-by-step tutorial
Learn to build autonomous AI agents with LangChain v1's `create_agent` function.
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What's included in skill paths
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.