Enterprise n8n

*THIS IS A PRIVATE ONLY COURSE - CONTACT FOR PRICING* This five-day, instructor-led course advances senior integration engineers, platform architects, and DevOps/SRE professionals from n8n proficiency into the architecture, engineering, and operational disciplines required to run automation at enterprise scale. Each 90-minute module pairs 45 minutes of technical instruction with a 45-minute hands-on lab, ensuring participants leave with both conceptual fluency and deployment-ready skills. The course is structured across five progressive themes: workflow architecture and design patterns; enterprise system integration; security, governance, and compliance; performance engineering and observability; and production operations including AI-augmented automation. By day five, participants will have worked across the full operational stack, from execution engine internals and Kafka-backed event pipelines to Kubernetes autoscaling, custom node development, and SRE practices.

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Course Days: 5


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Course Overview
This five-day, instructor-led course advances senior integration engineers, platform architects, and DevOps/SRE professionals from n8n proficiency into the architecture, engineering, and operational disciplines required to run automation at enterprise scale. Each 90-minute module pairs 45 minutes of technical instruction with a 45-minute hands-on lab, ensuring participants leave with both conceptual fluency and deployment-ready skills. The course is structured across five progressive themes: workflow architecture and design patterns; enterprise system integration; security, governance, and compliance; performance engineering and observability; and production operations including AI-augmented automation. By day five, participants will have worked across the full operational stack, from execution engine internals and Kafka-backed event pipelines to Kubernetes autoscaling, custom node development, and SRE practices.

Course Materials and Resources
Required Tools and Accounts:
•All tools and lab environments are provided in the virtual lab environment, which remains accessible for 90 days following course completion.
Required Prerequisites:
•AI for IT Professionals course.
* A prerequisite assessment is available to evaluate participant skill level and confirm readiness, promoting course success and appropriate cohort placement.
Post-Course Support:
•Access to all course materials and lab environments for 90 days post-completion.
•Certificate of completion issued upon satisfactory participation and lab completion.
•Discounted re-enrollment for major course updates.


Module 1: Enterprise n8n Architecture & Platform Foundations

Module 2: Advanced Workflow Design Patterns

Module 3: Data Transformation & Expression Engine Mastery

Module 4: Trigger Architecture & Event-Driven Design

Module 5: RESTful API Integration at Enterprise Scale

Module 6: Building AI-Enhanced Workflows

Module 7: Messaging Systems & Asynchronous Integration

Module 8: Enterprise SaaS & ERP Integration

Module 9: Enterprise Security Architecture for n8n

Module 10: Role-Based Access Control & Multi-Tenancy

Module 11: Workflow Governance & Change Management

Module 12: Compliance Automation & Audit Trail Design

Module 13: High-Throughput Workflow Performance Optimization

Module 14: Observability: Metrics, Logging & Distributed Tracing

Module 15: Error Handling, Resilience & Recovery Patterns

Module 16: Capacity Planning & Scalability Engineering

Module 17: Production Deployment Strategies & Infrastructure as Code

Module 18: Custom Node Development & Pattern Extension

Module 19: AI/ML Integration & Intelligent Automation Patterns

Module 20: Enterprise Operations, SRE Practices & Capstone Review

 

 

 



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