Production agents with LangGraph and n8n
Compare frameworks, design state and memory, add human approvals, observe failures and ship agent workflows responsibly.
What you will be able to do
- Understand the core technical decisions
- Apply the workflow in guided lessons
- Evaluate a practical result
A practical project with explicit verification and next steps.
Learners who want to move from concepts to a working, reviewable project.
- • Basic computer skills
- • Time to complete the guided exercises
Syllabus
module 01 / Architecture
3 lessonsmodule 02 / Automating with tools
3 lessonsmodule 03 / Production
3 lessonsComplete Aulafy map
How all courses connect
This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.
- 1Understand
- 2Apply or build
- 3Operate with confidence
Choose an application
Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.
Continue into the technical branch when you need to maintain code, data, or infrastructure.
Build with code
Prepare your environment, work with coding agents, and run models while keeping control of your projects.
This branch prepares you to design and operate reliable AI systems.
Take systems to production
Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.
You do not need every course: choose the component your system needs and return as it grows.