n8n Automation for Developers Training in Almaty, Kazakhstan

This course provides hands-on training on n8n workflow automation, progressing from beginner to intermediate level. Designed for technical team members and product owners, the program focuses on building, integrating, and managing automation workflows using n8n’s low-code capabilities. Participants will learn how to design reliable workflows, integrate external APIs, handle data transformations, and apply best practices for production-ready automations without requiring paid tools or licenses.

n8n Fundamentals & Core Automation Skills

Introduction to n8n & Automation Architecture

• Overview of workflow automation platforms
• n8n positioning in the automation ecosystem
• Key use cases for product teams
• n8n architecture and execution model
• Cloud vs self-hosted deployment overview
• Understanding nodes, triggers, workflows, and executions

n8n Installation & Environment Setup

• Installing n8n (local setup using Docker / npm)
• Exploring the n8n UI and workflow canvas
• Managing credentials and connections securely
• Workflow execution modes (manual vs production)

Hands-on Exercises

Building Basic Workflows

• Trigger nodes:
• Manual Trigger
• Webhook Trigger
• Schedule Trigger (Cron)
• Action nodes and common integrations
• Data flow between nodes
• Workflow testing and debugging basics

Hands-on Exercises

Data Handling & Expressions

• Understanding JSON data in n8n
• Using expressions and variables
• Working with Set, Merge, and Function nodes
• Basic data transformation techniques

Hands-on Exercises

Workflows, APIs & Production Practices

Conditional Logic & Workflow Control

• IF, Switch, and Looping concepts
• Error handling using Error Trigger
• Retry mechanisms and workflow resilience
• Designing multi-path workflows

Hands-on Exercises

API Integration & Webhooks

• REST API fundamentals (GET, POST, PUT, DELETE)
• Using HTTP Request node
• Authentication methods:
• API keys
• OAuth2
• Basic Auth
• Consuming and producing webhooks

Hands-on Exercises

Workflow Optimization, Versioning & Scaling

• Performance considerations
• Handling large datasets
• Workflow versioning strategies
• Environment separation (Dev / Test / Prod)
• Monitoring executions and logs
• Common production pitfalls

Product Use Cases, Governance

• Using n8n in product workflows
• Event-driven automation
• Automation ownership model
• Security and credential management best practices
• Designing reusable workflows
• Introduction to AI & advanced nodes (overview only)

Hands-On Exercises