Building AI Workflows in n8n Training Course
n8n is a robust tool that facilitates the creation of AI-enhanced workflows, enabling users to automate complex processes with intelligent decision-making capabilities. This course delves into building AI-driven workflows using n8n. Participants will learn how to integrate AI models and services within n8n to develop sophisticated automation solutions.
This instructor-led, live training (online or on-site) is designed for intermediate to advanced developers and AI enthusiasts who want to create advanced AI workflows in n8n.
By the end of this training, participants will be able to:
- Grasp the integration of AI services with n8n workflows.
- Implement AI-driven decision-making in automated processes.
- Create custom AI nodes and utilize pre-built AI nodes in n8n.
- Analyze and optimize the performance of AI workflows.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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 (like 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
- Utilizing 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
- Optimizing workflows with AI feedback loops
- Scaling AI workflows for enterprise applications
Summary and Next Steps
Requirements
- Basic knowledge of n8n and workflow automation
- Familiarity with JavaScript and APIs
- Interest in AI and machine learning concepts
Audience
- Developers looking to integrate AI into automation workflows
- AI hobbyists interested in practical applications of AI models
Open Training Courses require 5+ participants.
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Testimonials (2)
Hands on examples
Ryan Brookman - The Shaw Group Limited
Course - Introduction to Artificial Intelligence for Non-technical users
We got to use the tools.
Victor Aguero - PNUD/MICI
Course - Aplicaciones Prácticas de Inteligencia Artificial para Personal Administrativo
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