Course Outline
Day 1: Workflows and the AI step
Introduction
- When to automate, when to use an AI step and when to use an agent
- n8n in context: cloud and self-hosted, and what each means for company data
n8n essentials
- Workflows, nodes, triggers and executions
- Moving data between nodes by dragging fields, without typing syntax
- Reading an execution to find and fix a problem
Connecting apps and data
- Webhooks and form triggers
- Spreadsheets, email and calendar nodes
- Credentials and authentication for external services
- The HTTP Request node, step by step
The AI step
- Adding a model to a workflow
- Writing prompts for reliable output
- Structured output and automatic correction of malformed answers
- Classifying and extracting information from emails, forms and documents
Decisions and actions
- Branching with If and Switch
- Approval steps: asking a person before an action is taken
- Writing results to a spreadsheet and sending notifications
Hands-on lab: first end-to-end workflow
- From an incoming request to a classified, recorded and routed result
Day 2: Agents and operations
Agents
- What an agent is: model, memory and tools
- Fixed workflow or agent: how to choose
- Giving an agent access to company documents and spreadsheets
Agents that act
- Tools that read and tools that write
- System prompt rules: required fields, no invented data, no duplicate records
- Testing an agent by trying to break it
Channels
- Chat interface for internal use
- Connecting the agent to one messaging channel
Reliability
- Error workflows, retries and notifications
- Logs and execution history
- Controlling model and execution costs
Data and privacy
- What leaves the company when a model is called
- Self-hosting and local models: instructor demonstration
- A checklist to review with the IT or legal team
Building workflows with AI
- Asking an AI assistant to draft a workflow
- Reviewing it: what each node does, where the data comes from and what happens when it is empty
Final project and next steps
- Each participant completes and presents a workflow with an AI step and an agent on their own process
- Maintenance plan and next candidates for automation
Deliverable: a working workflow with an AI step, an agent connected to company data, error handling and a review checklist.
Requirements
- No programming experience required
- Comfort using web applications and spreadsheets
- A clear picture of one repetitive process in their own work
Audience
- Business, operations and customer-facing professionals
- Team leads and process owners
- Non-developers who want to build automations and AI agents on 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.
Price per private group, online live training, starting from 2900 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
