⚡ n8n: Flexible AI Workflow Automation

For Technical Teams

Build with the precision of code or the speed of drag-n-drop. Host with on-prem control or in-the-cloud convenience. n8n gives you more freedom to implement multi-step AI agents and integrate apps than any other tool.

📚 Course Curriculum

1. Module 1: n8n Foundations & Setup 🚀
   • Lesson 1.1: What is n8n?
     Objective: Understand n8n's architecture, capabilities, and how it compares to other workflow automation tools.
     Activity: Research and compare n8n with 2-3 other workflow automation platforms.
   • Lesson 1.2: Installation & Deployment Options
     Objective: Set up n8n locally, in Docker, or in the cloud based on your needs.
     Activity: Deploy n8n in your preferred environment and explore the interface.
   • Lesson 1.3: Core Concepts & Interface
     Objective: Master the fundamental concepts of nodes, workflows, and execution.
     Activity: Create your first simple workflow with basic nodes and test execution.
2. Module 2: Building Your First Workflows 🔧
   • Lesson 2.1: Node Types & Functions
     Objective: Understand different node categories and their specific use cases.
     Activity: Experiment with trigger, action, and logic nodes to build a simple automation.
   • Lesson 2.2: Workflow Design Patterns
     Objective: Learn common workflow patterns for different automation scenarios.
     Activity: Design and implement workflows for data processing, notifications, and API integrations.
   • Lesson 2.3: Error Handling & Debugging
     Objective: Implement robust error handling and debugging strategies.
     Activity: Build a workflow with error handling and test various failure scenarios.
3. Module 3: AI Integration & Multi-Agent Workflows 🤖
   • Lesson 3.1: Connecting AI Services
     Objective: Integrate various AI services (OpenAI, Claude, etc.) into n8n workflows.
     Activity: Build a workflow that processes text through multiple AI services.
   • Lesson 3.2: Multi-Step AI Agents
     Objective: Design complex AI agent workflows with decision-making and iteration.
     Activity: Create an AI agent that analyzes data, makes decisions, and takes actions.
   • Lesson 3.3: AI Workflow Optimization
     Objective: Optimize AI workflows for performance, cost, and reliability.
     Activity: Analyze and optimize an AI workflow for better efficiency and cost management.
4. Module 4: Advanced Integration & Custom Development 💻
   • Lesson 4.1: Custom Node Development
     Objective: Create custom nodes for specific integrations or business logic.
     Activity: Develop a custom node that integrates with your internal systems.
   • Lesson 4.2: API Integrations & Webhooks
     Objective: Master API integrations and webhook handling for real-time automation.
     Activity: Build a workflow that responds to webhooks and integrates with external APIs.
   • Lesson 4.3: Database & Data Processing
     Objective: Work with databases and implement complex data processing workflows.
     Activity: Create a data pipeline that processes, transforms, and stores information.
5. Module 5: Production Deployment & Scaling 🏗️
   • Lesson 5.1: Production Environment Setup
     Objective: Deploy n8n in production with proper security and monitoring.
     Activity: Set up a production n8n instance with authentication and logging.
   • Lesson 5.2: Workflow Scheduling & Orchestration
     Objective: Implement scheduling, dependencies, and workflow orchestration.
     Activity: Design a workflow system with dependencies and scheduling requirements.
   • Lesson 5.3: Monitoring & Maintenance
     Objective: Set up monitoring, alerting, and maintenance procedures for production workflows.
     Activity: Implement monitoring and alerting for critical workflows.
6. Module 6: Team Collaboration & Enterprise Features 👥
   • Lesson 6.1: Team Workflow Management
     Objective: Collaborate with team members on workflow development and deployment.
     Activity: Set up team collaboration features and workflow version control.
   • Lesson 6.2: Security & Access Control
     Objective: Implement proper security measures and access control for enterprise use.
     Activity: Configure user roles, permissions, and audit logging.
   • Lesson 6.3: Enterprise Integration & Scaling
     Objective: Scale n8n for enterprise use and integrate with existing infrastructure.
     Activity: Design an enterprise n8n deployment with high availability and scalability.

🎉 Course Wrap-Up: You're Now an n8n Workflow Master!

CONGRATULATIONS, Workflow Engineer! 🎓
You've mastered n8n and can now build sophisticated AI-powered workflow automations that scale.
Your Certificate of Workflow Automation! 📜
Next Steps: Start building, share your workflows, and transform how your team works! 🚀