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Course Outline

Introduction to AI in Workflow Automation

  • Overview of AI and machine learning.
  • Understanding AI capabilities in n8n.
  • Setting up the environment for AI workflows.

Working with AI Services

  • Integrating external AI services (such as AWS AI, Google AI).
  • Using n8n nodes for AI services.
  • Authenticating and securing AI service connections.

Building AI-Enhanced Workflows

  • Designing workflows with AI decision-making.
  • Automating data analysis with AI.
  • Creating dynamic responses based on AI insights.

Custom AI Nodes in n8n

  • Developing custom nodes for specific AI functions.
  • Utilising JavaScript for AI node development.
  • Sharing and reusing AI nodes within the n8n community.

Advanced AI Workflow Scenarios

  • Case studies: Real-world AI workflow implementations.
  • Optimising workflows with AI feedback loops.
  • Scaling AI workflows for enterprise applications.

Summary and Next Steps

Requirements

  • Fundamental knowledge of n8n and workflow automation.
  • Familiarity with JavaScript and APIs.
  • Interest in AI and machine learning concepts.

Audience

  • Developers seeking to integrate AI into automation workflows.
  • AI enthusiasts interested in practical applications of AI models.
 14 Hours

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