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Course Outline
Introduction to AI in Workflow Automation
- Overview of AI principles and machine learning
- Exploring AI functionalities within n8n
- Configuring the environment for AI workflow development
Integrating AI Services
- Connecting external AI providers (such as AWS AI and Google AI)
- Applying n8n nodes specifically for AI service interaction
- Managing authentication and security for AI service connections
Constructing AI-Enhanced Workflows
- Architecting workflows that incorporate AI decision logic
- Automating data analysis tasks using AI
- Generating dynamic responses guided by AI insights
Developing Custom AI Nodes in n8n
- Engineering custom nodes for specialized AI functions
- Leveraging JavaScript for the development of AI nodes
- Sharing and reusing AI nodes across the n8n community
Advanced AI Workflow Scenarios
- Case studies: Real-world implementations of AI workflows
- Refining workflows through AI feedback loops
- Scaling AI workflows for enterprise-grade applications
Recap and Future Directions
Requirements
- Fundamental understanding of n8n and workflow automation principles
- Proficiency with JavaScript and API interactions
- A keen interest in AI and machine learning concepts
Target Audience
- Developers seeking to embed AI into their automation workflows
- AI hobbyists curious about the practical deployment of AI models
14 Hours
Testimonials (2)
correct way of prompting and including guardrails in instructions.
YEO SHI MIN - ST Engineering Aerospace Ltd
Course - ChatGPT and Microsoft 365 Copilot for Advanced Productivity
Understand AI function n tools to make our job easier. Need to improved AI Chubb such as make analysis n creating presentation