Building AI Workflows in n8n Training Course
n8n is a robust platform that empowers users to build AI-enhanced workflows, facilitating the automation of complex processes through intelligent decision-making. This course offers a comprehensive exploration of creating AI-driven workflows using n8n. Attendees will gain insights into leveraging AI models and services within the n8n ecosystem to develop sophisticated automation solutions.
This instructor-led, live training (available online or on-site) is designed for developers ranging from intermediate to advanced levels, as well as AI enthusiasts, who aim to create advanced AI workflows in n8n.
Upon completion of this training, participants will be able to:
- Comprehend the integration of AI services with n8n workflows.
- Implement AI-driven decision-making within automated processes.
- Develop custom AI nodes and utilise pre-built AI nodes in n8n.
- Analyse and optimise the performance of AI workflows.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live-lab environment.
Course Customisation Options
- To request a customised 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 (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.
Open Training Courses require 5+ participants.
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Testimonials (2)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
Brett McLaren - Zoll Itamar
Course - ChatGPT for Productivity: A Beginner’s Guide
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