Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Day 1: Workflows and the AI Component
Introduction
- Determining when to automate, when to use an AI step, and when to deploy an agent.
- n8n in context: comparing cloud versus self-hosted deployments and their implications for data control.
n8n Fundamentals
- Core concepts: workflows, nodes, triggers, and executions.
- Transferring data between nodes by dragging fields, eliminating the need for syntax.
- Analysing execution logs to identify and resolve issues.
App & Data Connectivity
- Utilising webhooks and form triggers.
- Working with spreadsheet, email, and calendar nodes.
- Managing credentials and authentication for external services.
- A step-by-step walkthrough of the HTTP Request node.
The AI Step
- Integrating a model into a workflow.
- Crafting prompts to ensure reliable outputs.
- Achieving structured output and automatically correcting malformed responses.
- Classifying and extracting data from emails, forms, and documents.
Decision Logic & Actions
- Implementing branching logic using If and Switch nodes.
- Incorporating approval steps: requesting human confirmation before action.
- Recording results in spreadsheets and dispatching notifications.
Hands-on Lab: First End-to-End Workflow
- Tracing a journey from an incoming request to a classified, logged, and routed outcome.
Day 2: Agents and Operations
Agents
- Agent architecture: model, memory, and tools.
- Choosing between a fixed workflow and an agent.
- Granting agents access to company documents and spreadsheets.
Action-Oriented Agents
- Distinguishing between read-only and write-capable tools.
- Setting system prompt rules: mandatory fields, prohibiting fabricated data, and preventing duplicate records.
- Stress-testing agents by attempting to disrupt their logic.
Channels
- Configuring a chat interface for internal use.
- Linking the agent to a single messaging platform.
Reliability
- Setting up error workflows, retries, and alert notifications.
- Reviewing logs and execution history.
- Monitoring and controlling model and execution costs.
Data & Privacy
- Assessing what data is transmitted when a model is invoked.
- Exploring self-hosting and local models via instructor demonstration.
- Utilising a checklist for review with IT or legal teams.
AI-Assisted Workflow Building
- Using an AI assistant to draft a workflow structure.
- Reviewing the draft: understanding node functions, data sources, and empty-state handling.
Final Project & Next Steps
- Participants finalise and present a workflow featuring an AI step and an agent applied to a personal business process.
- Establishing a maintenance plan and identifying future automation opportunities.
Deliverable: A functional workflow incorporating an AI step, an agent linked to corporate data, robust error handling, and a review checklist.
Requirements
- No programming background is necessary.
- Basic familiarity with web applications and spreadsheets.
- A clear understanding of at least one repetitive process within your current role.
Target Audience
- Professionals in business, operations, and customer-facing roles.
- Team leaders and process owners.
- Non-technical staff aiming to build automations and AI agents using corporate data.
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
