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Course Outline

Lesson 1: Introduction & New Capabilities

  • What’s new in n8n: MCP nodes, AI smart actions, editor enhancements :contentReference[oaicite:0]{index=0}
  • Installing and configuring n8n with modern feature flags.
  • Navigating the updated n8n interface and node gallery.

Lesson 2: Core Workflow Construction

  • Understanding nodes, credentials, and connections.
  • Utilizing triggers: webhooks, schedules, and form triggers.
  • Executing, debugging, and configuring failure retry strategies.

Lesson 3: Integration & APIs

  • HTTP Request nodes and REST API connectors.
  • Webhooks: catch-up mechanisms and response handling.
  • Utilizing new integration nodes and community-contributed nodes.

Lesson 4: Adaptive Logic and Smart Actions

  • Leveraging AI-powered smart actions to adapt workflows based on context :contentReference[oaicite:1]{index=1}
  • Model Context Protocol (MCP) Server Trigger / MCP Client Tool :contentReference[oaicite:2]{index=2}
  • Making decisions using expressions, switch nodes, and branching logic.

Lesson 5: Data Handling & Transformation

  • Working with binary data, JSON, lists, and merging data.
  • Transforming data using code nodes and built-in functions.
  • Handling media and files within workflows.

Lesson 6: Workflow Maintenance & Scaling

  • Versioning workflows and tracking workflow history.
  • Error handling, logging, and observability.
  • Scheduling, concurrency, and execution modes (standard vs. queue).

Lesson 7: Best Practices & Real Use Case Workshop

  • Designing reusable workflows and nodes using modular patterns.
  • Security, permissions, and credential best practices.
  • Workshop: Build a real-world workflow project using learned features.

Summary and Next Steps

Requirements

  • A foundational understanding of APIs and web services is advantageous.
  • An interest in workflow automation and integration.

Target Audience

  • Business professionals seeking to streamline operational processes.
  • IT enthusiasts keen on learning about n8n.
 7 Hours

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