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 Duration 14 hours

Course Outline

Day 1: Workflows and the AI Step

    Introduction

    • Determining when to use automation, an AI step, or a full agent
    • Understanding n8n in context: cloud versus self-hosted, and the implications for corporate data

    Core n8n Concepts

    • Understanding workflows, nodes, triggers, and execution cycles
    • Transferring data between nodes via field mapping, eliminating the need for syntax entry
    • Interpreting execution logs to diagnose and resolve issues

    App and Data Integration

    • Configuring webhooks and form triggers
    • Utilizing nodes for spreadsheets, email, and calendar services
    • Managing credentials and authentication for third-party services
    • Step-by-step usage of the HTTP Request node

    Implementing the AI Step

    • Incorporating AI models into existing workflows
    • Crafting prompts that yield reliable results
    • Enforcing structured output and automatically correcting malformed responses
    • Extracting and classifying information from emails, forms, and documents

    Decision Logic and Actions

    • Implementing conditional logic using If and Switch nodes
    • Introducing human-in-the-loop approval steps before critical actions
    • Logging results to spreadsheets and dispatching notifications

    Practical Lab: First End-to-End Workflow

    • Processing an incoming request through classification, recording, and routing stages

    Day 2: Agents and Operations

      Understanding Agents

      • Defining an agent: the combination of model, memory, and tools
      • Choosing between a fixed workflow and an agent-based approach
      • Granting agents access to corporate documents and spreadsheets

      Actionable Agents

      • Differentiating between read-only and write-enabled tools
      • Setting system prompt rules: mandatory fields, prohibition of fabricated data, and prevention of duplicate records
      • Stress-testing agents to identify vulnerabilities

      Communication Channels

      • Setting up chat interfaces for internal use
      • Integrating agents with a single messaging platform

      Ensuring Reliability

      • Implementing error workflows, retry mechanisms, and alerts
      • Reviewing logs and execution history
      • Managing model usage and execution costs

      Data Privacy and Security

      • Identifying data that exits the company during model calls
      • Demonstrating self-hosting and local model capabilities
      • Using a checklist for review with IT or legal teams

      AI-Assisted Workflow Construction

      • Using AI assistants to draft initial workflow structures
      • Reviewing generated logic: verifying node functions, data sources, and empty-state handling

      Final Project and Next Steps

      • Participants finalize and present a workflow featuring an AI step and an agent tailored to their specific process
      • Developing a maintenance plan and identifying future automation candidates

      Deliverable: A functional workflow incorporating an AI step, an agent linked to company data, error handling, and a comprehensive review checklist.

      Requirements

      • No programming background necessary
      • Proficiency with web-based applications and spreadsheets
      • A clear understanding of at least one repetitive process within your current role

      Target Audience

      • Professionals in business operations, customer service, and related functions
      • Team leaders and process owners
      • Non-technical staff aiming to develop automations and AI agents leveraging company data

      Custom Corporate Training

      Training solutions designed exclusively for businesses.

      • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
      • Flexible Schedule: Dates and times adapted to your team's agenda.
      • Format: Online (live), In-company (at your offices), or Hybrid.
      Investment

      Price per private group, online live training, starting from 3200 € + VAT*

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