LangGraph Framework

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AI & Automation · Self-paced course

LangGraph Framework

Build durable, stateful agent workflows in LangGraph — state, edges, tools, checkpointing and human-in-the-loop.

$297

One-time payment · Self-paced course · 6 modules · 18 lessons

Enroll now — $297Read a free preview lessonA group of cubes that are on a black surface

What this is

A build-along course in LangGraph. You start from a two-node graph and finish with a persistent, streaming, human-in-the-loop multi-agent system: typed state with reducers, conditional edges and loops, tool nodes, checkpointers and threads, interrupts, tracing and deployment. Code examples use the Python API as of LangGraph v1 (October 2026); check the current docs for your installed version before copying.

It does not promise production-grade results without testing in your own environment, and LangGraph changes over time, so check the current documentation. It is a build-along course; you should be comfortable with Python and basic LLM APIs before starting.

What you will be able to do

  • Build LangGraph graphs with typed state and reducers
  • Use conditional edges and loops for control flow
  • Add tool nodes and agent behavior
  • Persist state with checkpointers and add human-in-the-loop steps
  • Prepare a LangGraph system for production with streaming and monitoring

The curriculum

Module 1

Graph basics

  1. Why a graph instead of a chain
  2. StateGraph, nodes and edges
  3. Your first real graph end to end

Module 2

State management

  1. Designing the state schema
  2. Reducers and channels
  3. Working with messages state

Module 3

Control flow

  1. Conditional edges
  2. Loops, recursion limits and termination
  3. Parallel branches, fan-out and fan-in

Module 4

Tools and agents

  1. Tool nodes
  2. Building an agent loop
  3. Multi-agent graphs

Module 5

Persistence and humans

  1. Checkpointers
  2. Threads and resuming
  3. Interrupts and human-in-the-loop

Module 6

Production

  1. Streaming
  2. Tracing, testing and debugging
  3. Deployment and operations
A black and white photo of cubes on a black background

This is for you if…

  • You build LLM applications in Python
  • Your agent prototypes break on longer or stateful tasks
  • You want durable workflows with human review
  • You are evaluating LangGraph for a project

What you get

  • 18 lessons across 6 modules, written in plain language
  • A free preview lesson you can read before you buy
  • One-time payment of $297 — no subscription
  • Self-paced study with no deadlines or live sessions
  • Practical steps you can apply to your own work as you go

Questions

Is a certificate, license or credential awarded?

No. This course does not award any certification, license, accreditation or professional credential. It is educational content to help you build practical skills.

Can I read a lesson before I buy?

Yes. One lesson is free to read — use the “Read a free preview lesson” button at the top of this page.

How is the course delivered?

It is a self-paced online course. There are no deadlines, live sessions or set start dates; you work through the lessons when it suits you.

How do I pay?

Payment is a one-time charge through the Skill Stack Suite checkout. There is no subscription.

Do you promise any results?

No. The course is educational. It does not promise any income, earnings, job, promotion or business results — what you get from it depends on your situation and how you apply it.

LangGraph Framework

$297

One-time payment · Self-paced course · 6 modules · 18 lessons

Enroll now — $297

Educational content only. This course does not promise any income, earnings, revenue, job or business results; outcomes depend on your own situation and effort. No certification, license or professional credential is awarded.

About this courseThis is a self-paced educational course. Completing it does not award a professional certification, license, degree or academic credit, and it does not count toward any licensing or continuing-education requirement. Exam-prep courses are independent study material: we are not affiliated with or endorsed by the exam provider, no exam voucher is included, and a certification is only awarded by the provider after you pass its exam. It is not legal, tax, financial or other professional advice, and it makes no promise of income, results or employment.

Modules

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