This course focuses on leveraging n8n, an open-source workflow automation tool, to build and integrate AI-powered workflows. Participants will learn how to design, implement, and optimize workflows that incorporate AI and machine learning services using n8n’s capabilities.
Prerequisites
Basic understanding of workflow automation concepts
Familiarity with n8n (or completion of an introductory n8n course)
Basic knowledge of AI and machine learning concepts (helpful but not required)
Experience with APIs and integration methods
What will you gain after this course
Understand the fundamentals of n8n and its workflow automation features
Design and implement AI-powered workflows using n8n
Integrate AI services and models into n8n workflows
Optimize and troubleshoot AI workflows for performance and reliability
Develop advanced workflow automations combining multiple AI services
Jobs you can get with Mastering AI Workflows with n8n Training
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Who is this certification for?
Workflow automation professionals
Software developers and engineers
Data scientists and AI practitioners
IT professionals interested in integrating AI into workflows
Business analysts and product managers working with automation and AI
Small Groups
With small groups of students, our instructors can work closely with each student.
Flexible Class Schedules
Our class schedules are flexible on weekdays, weekend, or evenings to suit your schedule.
Experienced Instructors
Our instructors follow a modified are personalized approach to engage students during class
Hi-Tech Lab Facilities
Our students can access our lab facilities anytime for practical experience during and after studies.
Syllabus
Introduction to n8n
What is n8n? Overview and architecture
Key features and benefits of n8n
Setting up your n8n environment: Installation and configuration
Creating and Managing Workflows
Understanding n8n nodes, triggers, and actions
Building basic workflows: Connecting nodes and setting parameters
Managing workflows: Editing, duplicating, and deleting
Integrating AI Services with n8n
Overview of AI services and APIs (e.g., NLP, image recognition, sentiment analysis)
Adding and configuring AI nodes in n8n
Authentication and API key management for AI services
Designing AI-Powered Automation
Identifying opportunities for AI integration in workflows
Creating workflows for common AI tasks: Data enrichment, automated responses, predictions
Using conditional logic and branching for advanced workflows
Data Handling and Transformation
Techniques for data extraction, transformation, and loading (ETL)
Handling and formatting data between nodes
Using n8n’s built-in tools for data manipulation
Advanced Workflow Strategies
Implementing loops and advanced control flow in workflows
Error handling and debugging workflows
Performance optimization: Improving workflow efficiency and response times
Deployment and Monitoring
Deploying workflows to production environments
Monitoring and managing workflow execution and performance
Setting up alerts and notifications for workflow events
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