Advanced Workflow Automation in n8n

• Experience using n8n for basic workflows
• Understanding of JavaScript and JSON
• Familiarity with APIs and webhooks

Audience

• Developers
• Data engineers

n8n is an advanced automation tool designed to simplify and enhance workflow automation in complex data environments. This course covers advanced topics such as building custom nodes, applying conditional logic, and integrating with sophisticated systems to optimize automation.

This instructor-led, live training (online or onsite) is aimed at advanced-level developers and data engineers who wish to master advanced workflow automation techniques using n8n.

By the end of this training, participants will be able to:

• Create and implement advanced workflows with conditional logic and branching.
• Integrate with complex APIs and third-party systems.
• Develop and deploy custom nodes to expand n8n’s functionality.
• Optimize workflows for scalability and efficiency in data-heavy environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Advanced Workflow Automation

• Recap of n8n’s core features
• Overview of advanced automation concepts
• Identifying challenges in data-heavy environments

Advanced Workflow Design

• Building workflows with conditional logic and branching
• Implementing loops and iterations in workflows
• Combining workflows for complex processes

Integrating with Advanced APIs

• Handling complex authentication methods (OAuth 2.0, API keys)
• Working with paginated and nested API responses
• Automating multi-step API calls

Custom Node Development

• Introduction to n8n’s custom node framework
• Setting up a development environment for custom nodes
• Building, testing, and deploying custom nodes

Data Management and Transformation

• Using advanced nodes for data manipulation
• Cleaning and transforming data within workflows
• Storing and retrieving data using databases and cloud storage

Optimizing Workflows for Scalability

• Designing workflows for high-volume data processing
• Monitoring and debugging workflows
• Improving workflow performance and reliability

Security and Best Practices

• Securing workflows and sensitive data
• Implementing access controls and user permissions
• Best practices for managing complex workflows

Scaling Workflow Automation

• Deploying workflows across multiple environments
• Maintaining and updating workflows for evolving needs
• Preparing for future trends in workflow automation

Summary and Next Steps