Ai Ml · intermediate
Building AI Agents with LangChain & LangGraph
Build production-grade autonomous AI agents. Master LangChain chains, LCEL, memory, tool-equipped agents, and stateful multi-agent workflows with LangGraph. Go from single LLM calls to self-directing systems.
- 8 hours
- 20 lessons
- 5 modules
- updated April 2026
Try it before you sign up
Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.
LangChain Architecture and LCEL
5 modules, 20 lessons
Module 1 is free — lessons, hands-on walkthrough and quiz.
- readLangChain Architecture and LCEL30 min
- hands-onBuild Your First LangChain Chains20 min
- videoLangChain Crash Course20 min
- quizLangChain Foundations Quiz10 min
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 5 guided hands-on walkthroughs you run in a real environment.
- 02 5 module quizzes — every answer comes with an explanation.
- 03 Last updated April 2026.
- 04 Any module can become a hands-on lab in Labs Studio.
What you'll be able to do
- 01 Build LangChain chains with LCEL (LangChain Expression Language)
- 02 Add memory and conversation history to agents
- 03 Equip agents with tools: web search, code execution, APIs
- 04 Build stateful multi-step agents with LangGraph
- 05 Implement human-in-the-loop checkpoints
- 06 Debug and trace agent execution with LangSmith
- 07 Deploy agents as production APIs
- — Python intermediate (classes, decorators, async)
- — Familiarity with calling an LLM API
- — Basic understanding of what an LLM is
Before you start
How long does it take?
About 8 hours of lessons, videos and hands-on walkthroughs across 5 modules.
What’s free?
Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 5 modules, and starts with a 14-day free trial.
Start the course with Module 1 free.
No card required. Unlock every module from $8.99/mo when you’re ready.