Building AI Workflows in n8n Training Course
n8n is a robust platform that empowers users to design AI-enhanced workflows, automating intricate processes through intelligent decision-making. This course offers a comprehensive exploration of constructing AI-driven workflows using n8n. Participants will discover how to harness AI models and services within the n8n ecosystem to develop sophisticated automation solutions.
This instructor-led, live training (available online or onsite) is designed for developers with intermediate to advanced proficiency, as well as AI enthusiasts, who aim to build advanced AI workflows in n8n.
By the conclusion of this training, participants will be able to:
- Grasp 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.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customisation Options
- To request a tailored training for this course, please contact us to make arrangements.
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.
- 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
- Foundational knowledge of n8n and workflow automation.
- Familiarity with JavaScript and APIs.
- An interest in AI and machine learning concepts.
Audience
- Developers keen on integrating AI into automation workflows.
- AI enthusiasts interested in the 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
Provisional Upcoming Courses (Require 5+ participants)
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