Description
Master custom node development, distributed architectures and enterprise-level optimization with this advanced course in n8n. Take N8N beyond basic automations to production-ready solutions that transform entire organizations.
N8N Advanced Course Information
Who is this advanced course for?
This specialization program is aimed exclusively at professionals with previous experience in N8N:
- Solution architects designing multi-tenant automation and high availability ecosystems.
- Backend developers who need to extend N8N with custom nodes and complex logic.
- DevOps Engineers responsible for enterprise deployments with critical performance requirements.
- Tech Leads who manage teams implementing automation on an organizational scale.
- Integration consultants building solutions for customers with complex legacy architectures.
- Platform Engineers developing internal automation platforms as a service.
Mandatory prerequisites
This is an advanced course that requires demonstrable previous experience:
- Minimum experience building complex workflows in N8N
- Solid knowledge of JavaScript/TypeScript and object oriented programming.
- Hands-on experience with Node.js, npm and dependency management
- Proficiency in Docker and containerization concepts
- Familiarity with microservices architectures and distributed systems
- Experience with relational databases (PostgreSQL) and NoSQL (Redis, MongoDB)
- Knowledge of REST APIs and OAuth 2.0 authentication
- Understanding Enterprise Integration Patterns (EIPs)
⚠️ Important note: if the goal is to master from 0 N8N we offer a basic course to start understanding the future of automations.
Technical mastery objectives
Upon completion of this intensive program, participants will be able to:
- Develop custom nodes with TypeScript following the best practices of the N8N community
- Implementing queue mode architectures with Redis, Bull and distributed processing
- Optimize workflows for processing millions of events with sub-second latency
- Designing observability systems with OpenTelemetry, Prometheus and Grafana
- Building multi-tenant platforms with data isolation and granular RBAC
- Implement CI/CD pipelines for workflows with automated testing and continuous deployment
- Creating event-driven architectures with Apache Kafka and asynchronous processing
- Managing costs and resources in cloud deployments with intelligent optimization
- Implementing disaster recovery with incremental backups and point-in-time recovery
- Extending the N8N API with custom endpoints and middleware
- Developing multi-model AI agents with advanced orchestration and memory management
- Implementing saga architecture patterns, CQRS and event sourcing in workflows
Intensive training program
Module 1: N8N Internal Architecture and Extensibility
- Deep dive in source code: execution engine, workflow parsing and state management
- Anatomy of a node: life cycle, hooks and main methods
- Type system: INodeType, IExecuteFunctions, ILoadOptionsFunctions
- Versioning strategies: management of breaking changes and deprecation
- Advanced debugging: profiling, memory leaks and bottleneck identification
Module 2: Developing custom nodes with TypeScript
- Setup of the development environment: n8n-nodes-starter and hot-reload
- Programmatic vs. declarative nodes: when to use each approach
- Implementation of custom credentials with OAuth 2.0 and API keys
- Dynamic options: dynamic loading of resources from external APIs
- Binary data handling: files, streams and efficient processing
- Testing of nodes: unit tests, integration tests and mock services
- npm publishing and semantic version management
- Lab: complete development of a node for legacy integration
Module 3: Queue mode and distributed processing
- Worker architecture: main process vs execution workers
- Redis cluster configuration for high availability
- Bull queues: prioritization, rate limiting and delayed jobs
- Horizontal scaling: strategies for multiple workers
- Load balancing and intelligent load distribution
- Memory management in long-running processes
- Practical implementation: 100K+ event processing system/hour
Module 4: Performance engineering and optimization
- Workflow profiling: identification of bottlenecks
- Optimization of queries to databases and batching
- Strategic caching: Redis, in-memory and cache invalidation
- Parallel processing: advanced split-aggregate patterns
- Connection pooling and efficient resource management
- Optimization of external API calls: intelligent rate limiting
- Benchmarking and stress testing of critical workflows
- Case study: 80% reduction in execution time
Module 5: Observability and enterprise monitoring
- OpenTelemetry instrumentation: traces, metrics and logs
- Prometheus integration: custom metrics and alerting
- Dashboards in Grafana: visualization of critical KPIs
- Distributed tracing: tracking of multi-workflow executions
- Log aggregation with ELK Stack or Loki
- Intelligent alerting: definition of SLIs, SLOs and error budgets
- Health checks and readiness probes for Kubernetes
- Implementation: full observability stack
Module 6: Event-driven Architectures with Apache Kafka
- N8N integration with Kafka: producers and consumers
- Topology design: topics, partitions and replication
- Event sourcing: event storage as a source of truth
- CQRS pattern: separation of readings and writings
- Saga pattern: distributed transaction orchestration
- Schema registry: schema evolution management with Avro
- Exactly-once semantics: processing guarantees
- Project: Real-time streaming processing pipeline
Module 7: Multi-tenant platforms and advanced security
- Isolation architecture: per database vs. per schema
- Granular RBAC: workflow, credential and execution level permissions
- Row-level security in PostgreSQL for multi-tenancy
- Secrets management: integration with HashiCorp Vault
- Encryption at rest and in transit
- Full audit: logging of all sensitive actions
- Rate limiting by tenant and resource quotas
- Implementation: complete N8N-as-a-Service platform
Module 8: CI/CD and automated workflow testing
- GitOps workflow: workflows as versioned code
- Testing strategies: unit, integration and end-to-end tests
- Mocking of external services for deterministic testing
- CI pipelines with GitHub Actions or GitLab CI
- Deployment strategies: blue-green, canary and rolling updates
- Environment promotion: dev → staging → production
- Automated rollback in case of detected faults
- Laboratory: complete functional IC/DC pipeline
Module 9: Multi-model AI agents and advanced RAG
- Agent architecture: planning, reasoning and execution
- Multi-model orchestration: GPT-4, Claude, parallel Gemini
- Vector databases: Pinecone, Weaviate, pgvector performance comparison.
- RAG optimization: chunking strategies, embedding models and retrieval
- Agent memory: short-term vs long-term memory management
- Cost optimization: embedding caching and intelligent routing
- Advanced function calling: tools, execution and error handling
- Fine-tuning workflows: when and how to adjust models
- Project: Persistent memory, multi-tool AI assistant
Module 10: Kubernetes and cloud-native deployments
- Helm charts for N8N: complete declarative configuration
- StatefulSets vs. Deployments: when to use each one
- Persistent volumes: storage strategies in Kubernetes
- Horizontal Pod Autoscaling based on custom metrics
- Service mesh: Istio for observability and traffic management
- Ingress controllers: routing and SSL termination
- Disaster recovery in Kubernetes: backups with Velero
- Implementation: production-ready cluster on AWS/GCP/Azure
Module 11: N8N API Extension
- Custom REST endpoint development: Express middleware
- WebSocket servers: real-time communication with workflows
- Authentication custom: SSO and SAML integration
- Rate limiting and customized throttling
- Custom triggers: event sources beyond the built-in ones
- Database migrations: management of schema changes
- Plugin system: extensible architecture for custom functionality
- Project: Custom API gateway on N8N
Module 12: Capstone Project – Complete Enterprise Platform
- Architectural design: requirements, constraints and technical decisions
- Multi-tenant production-ready platform implementation
- Development of 3+ custom nodes for critical integrations
- Full observability stack setup with alerting
- Functional CI/CD pipeline with automated testing
- Deployment on Kubernetes with auto-scaling
- AI agent integrated with RAG and persistent memory
- Complete technical documentation and operational runbooks
- Final presentation and code review by instructors
Training modalities
Immersive online training
Live sessions with complex technical labs. Access to complete cloud infrastructure.
On-site training
Intensive experience in our centers with high performance workstations. Networking with senior architects and CTOs who have implemented N8N. Access to physical labs with on-premise infrastructure for hybrid scenarios.
Locations in Spain: Madrid, Barcelona, Valencia, Seville, Bilbao, Malaga, Seville, Bilbao, Malaga
Latin America: Mexico DF, Buenos Aires, Bogota, Santiago, Lima, Quito
Customized in-company training
Program fully adapted to your architecture, technology stack and specific use cases. We include audit of existing workflows, refactoring of legacy code and design of target architecture. Ideal for teams of 5+ people looking to transform their automation platform.
If your organization has specific automation needs, we design customized programs that are tailored exactly to your systems, processes and business objectives. From hybrid implementations to legacy migrations, we create the training plan your team needs.
With 15 years of experience training the best IT professionals in the market, at SIXE we understand that business automation is not a weekend project. It is architecture, it is engineering, it is thinking about scale and maintainability. This course prepares you not only to use N8N, but to lead the automation transformation in organizations that process millions of transactions and cannot afford downtime.
