AI Automation Using n8n for Non-Technical Beginners
CL-N8NB
This beginner-friendly course teaches non-technical professionals how to design AI-powered automations using n8n Cloud, enabling them to build intelligent workflows, automate daily tasks, and deploy simple AI agents without writing any code.
Fees:
RM 3,200.00
Course duration:
2 days
AI Automation Using n8n for Non-Technical Beginners is a practical, instructor-led course designed to help everyday professionals move beyond basic AI prompting and start building intelligent workflows that operate independently. As automation and AI agents become core workplace capabilities, this course empowers non-technical users to design, test, and deploy AI-driven automations using no-code tools.
Many professionals already use generative AI tools like ChatGPT or Claude to assist with individual tasks. However, real productivity gains occur when these AI tools are orchestrated into structured workflows that run automatically. This course bridges that gap by introducing participants to n8n Cloud, a no-code automation platform that allows AI agents, applications, and data to work together seamlessly.
Over two days, learners progress from understanding how AI agents function within workflows to building multi-step automations that handle real business scenarios. The course emphasizes clarity, logic, and responsible automation rather than technical complexity, making it suitable for business users without programming backgrounds.
What learners will gain from this course:
A clear understanding of AI agents and workflow automation
Hands-on experience using n8n Cloud to build no-code automations
Practical skills to connect common business tools such as Gmail, Google Sheets, Google Drive, and Telegram
Confidence in using AI tools to troubleshoot and improve workflows through natural language
The ability to design workflows with fallback and escalation paths for reliability
Experience building a simple RAG-based AI agent that retrieves accurate information from documents
Key learning areas include:
From Prompts to Workflows
Understanding how AI agents fit into automation
Mapping how data, actions, and AI reasoning interact
Getting Started with n8n Cloud
Navigating the n8n interface, nodes, triggers, and templates
Importing and customizing community workflows
Vibe Coding Techniques
Using AI tools like ChatGPT or Claude to debug and refine workflows
Describing logic in natural language and converting it into automation steps
Building Smart and Reliable Automations
Creating multi-step workflows with decision logic
Implementing fallback and escalation handling
Adding Knowledge with RAG
Uploading documents as knowledge sources
Building an AI agent that retrieves and cites information accurately
Capstone Projects
Designing and presenting a working AI agent that automates a real business process
This course is ideal for executives, operations staff, analysts, customer service teams, and content professionals who want to reduce manual work, improve consistency, and scale productivity responsibly. Participants are expected to be comfortable with basic AI concepts and common workplace tools.
By the end of the program, learners will be able to confidently design AI-powered workflows that extend human capability, automate repetitive tasks, and improve business efficiency without relying on technical teams.
Training Course Modules
Module 1: From Prompts to Workflows — Understanding AI Agents in Action
Revisit the fundamentals of Generative AI and connect prompting concepts to real-world task automation.
Explain the relationship between workflow automation and AI agents, highlighting how agents act as intelligent components within a larger process.
Introduce the key elements of an AI Agent – Planning, Memory, Perception, and Tools – and explain their practical roles in workflow execution.
Compare examples of traditional automation (rule-based tasks) versus AI-driven automation (context-aware responses).
Discuss how combining structured workflows with AI reasoning improves accuracy, efficiency, and adaptability.
Create a visual workflow chart illustrating how data, actions, and AI agents interact to complete a typical business process.
Module 2: Getting Started with n8n Cloud — Your No-Code Automation Canvas
Walk through the n8n Cloud interface, including nodes, triggers, branching logic, the executions panel, and workflow templates.
Demonstrate how to connect commonly used applications (e.g., Gmail, Google Sheets, Telegram) to form the building blocks of an automation.
Explain the difference between triggers, actions, and data transformation nodes, and how they interact within a workflow.
Explore the n8n community library and learn how to import pre-built workflow templates as starting points for customization.
Introduce workflow versioning, execution logs, and basic troubleshooting using n8n’s built-in tools.
Outline best practices for managing credentials, API keys, and usage limits when connecting AI or external services.
Module 3: Vibe Coding Techniques — Let AI Help You Debug and Build
Introduce the concept of “Vibe Coding” as a technique for using LLMs to assist in workflow design, troubleshooting, and customization.
Demonstrate how to consult AI tools such as ChatGPT or Claude to generate step-by-step setup instructions or resolve workflow errors.
Learn to export workflows as JSON files and share them with LLMs for structural review, logic optimization, or debugging support.
Show how to describe workflow logic in natural language and convert it into n8n-compatible expressions or function nodes using LLM guidance.
Explain how to identify, isolate, and fix node-level errors through AI-assisted reasoning instead of manual debugging.
Apply Vibe Coding to enhance an existing automation
Module 4: Mini Capstone #1 – Designing Your First Smart Workflow
Consolidate the concepts learned in previous modules by designing a complete end-to-end workflow in n8n Cloud.
Use community templates as a foundation and modify node configurations to suit the selected scenario.
Incorporate AI nodes to enhance message generation, summarization, or tone adaptation based on user preferences.
Apply Vibe Coding techniques to refine prompt quality, message formatting, and logic accuracy.
Run, test, and optimize the workflow execution, verifying that each node performs as intended and data flows correctly across steps.
Present the final version of the workflow for peer review and discussion of improvement opportunities.
Module 5: Inside the AI Agent — How Memory, Reasoning & Tools Work Together
Learn how an AI Agent “thinks” and acts within a workflow by understanding its four main parts – Planning, Memory, Perception, and Tools.
See how memory helps an AI Agent remember past messages or data, allowing it to give more consistent and relevant answers.
Understand how reasoning allows the agent to decide what action to take next instead of just replying to one question at a time.
Discover how perception helps the agent read and interpret information from text, files, or forms before responding.
Explore how tools connect the agent to useful apps and systems such as search engines, Google Sheets, or chat platforms.
Observe how these elements come together inside n8n Cloud, where each node represents one part of the agent’s thinking or action.
Module 6: Building Multi-Step Automations with Fallback & Escalation
Learn how to combine multiple steps in a single workflow so that different actions happen automatically in sequence.
Understand how to plan automation flows that can handle unexpected situations—such as missing data, failed responses, or unclear inputs.
Explore how to create fallback paths, where the workflow can send a backup message, perform a simple retry, or use a different data source when something goes wrong.
Set up escalation routes that notify a team member or send a request to a human when the AI Agent cannot give a confident answer.
Learn how to use decision nodes like IF, Switch, or Error Trigger to make workflows more flexible and reliable.
Practise adding checks and balances so your automation continues running smoothly without human supervision.
Module 7: Adding Knowledge — Building a Simple RAG Agent for Internal FAQs
Learn how to give your AI Agent access to useful reference materials, such as company FAQs or policy documents.
Understand the idea behind Retrieval-Augmented Generation (RAG) — how it helps the agent find and quote real information instead of guessing.
Explore how to prepare and upload documents from cloud storage (e.g., Google Drive) for the agent to use as a knowledge source.
Build a simple FAQ Agent that can answer questions based on stored documents and provide accurate, cited responses.
Practise connecting your RAG setup to a chat platform such as Telegram to allow easy team interaction.
Test how your Agent retrieves answers, handles missing information, and gracefully responds when data is unavailable.
Module 8: Final Capstone – Your Personal AI Agent in Action
Combine workflow automation, Vibe Coding, and RAG techniques to create an agent that can retrieve, respond, and escalate when needed.
Review best practices for maintaining reliable automations
Discuss common pitfalls such as over-reliance on AI output, missing fallback logic, or poor credential management, and learn how to avoid them.
Reflect on the role of AI automation as a tool to extend human capability, not replace it
Practical tips for continuous improvement
Course Overview
Learning Objectives
Who Should Attend
Prerequisites
Course Modules
Professional Outcomes
Certification Details
Frequently Asked Questions
What is n8n used for in AI automation?
n8n is a no-code automation platform used to connect applications, data, and AI tools into automated workflows that run with minimal human intervention.
Is this course suitable for non-technical users?
Yes. This course is designed specifically for non-technical professionals and does not require any programming or coding experience.
What is an AI agent in workflow automation?
An AI agent is an intelligent component within a workflow that can plan actions, interpret information, use tools, and make decisions based on context rather than fixed rules.
What kind of business tasks can be automated using n8n?
Common tasks include email responses, report generation, document summarization, internal FAQs, notifications, follow-ups, and information routing across teams.
Do I need prior experience with AI tools like ChatGPT?
Participants should be comfortable with basic AI concepts such as prompting and everyday workplace tools, as the course builds on foundational generative AI usage.
Is this course HRDC Claimable?
Yes. This course is HRDC claimable, subject to HRDC approval and company eligibility.
Can this course be customized for our organization?
Yes. The course can be customized to reflect your organization’s workflows, tools, use cases, and internal documents.
What accounts or tools are required to attend the course?
Participants are required to have a Google account, a ChatGPT account, a Claude account, and a Telegram account prepared before the course begins.